Built Heritage 2013 Monitoring Conservation Management

Size: px
Start display at page:

Download "Built Heritage 2013 Monitoring Conservation Management"

Transcription

1 From video sequence as a database for the generation of 3D models to video as a tool for architecture communication Matteo Flavio Mancini; Alessia Moscarelli; Erald Mulla Sapienza Università di Roma, Facoltà di Architettura, Dipartimento di storia, disegno e restauro dell Architettura, Rome, Italy 1. Introduction The purpose of this work is to define a methodology for the use of video sequences as a source of metric data to obtain three-dimensional models in a reliable and fast way, as well as a virtual environment for the representation, fruition and communication of the filmed architectures. An important investigation topic will be the analysis of the metric data provided by the use of informatic tools. For this intent verifi cations will be based on two key features: data s accuracy and their precision. In the fi rst case the compliance to the real metric measurements will be checked by comparing our data with those provided by other techniques already verifi ed and consolidated while, in the second case, the scattering of the achieved results will be verified by repeating several times the algorithm. The experiment will be held using software and optical instruments selected in order to obtain a good balance between costs and quality. This methodology makes it possible to work virtually on an urban context or a specific architectural structure. Thanks to many possible simulations, it may be useful in various fi elds of application such as survey and restoration, monitoring, remote fruition, virtual reconstruction and simulation of possible interventions. The fast data acquisition end the easy further processing make this technology easily and effi ciently applied on various cultural heritage such as architecture, archaeology and urban contexts. The output of this workfl ow leads to a better communication with the final user providing enhanced immersive experience and easier comprehension then traditional static images (rendering, 2d elaborations, photo-manipulation etc.) adding an important feature: motion. Therefore it is also intended as a valid tool for users who are not very familiar or specialized in this field. 2. Instrumentation The instruments used during the shoots are: Canon EOS 550D reflex digital camera equipped with a 18.0Mpx CMOS APS-C (22,3x14,9mm) sensor, a widely diffused entry-level camera with a great quality/price ratio; TOKINA AT-X 116PRO DX optical wide-angle zoom lens (11-16mm F2.8), suitable for large-scale video shooting such as those of urban areas with minimal lens distortion easily corrected in the calibration phase; a steadycam assembled by Sturdycam with specifi c weights kit for the camera-optics combination used to stabilize the hand-held shooting in order to guarantee more efficient camera tracking; a Manfrotto tripod with three head movements in order to make stable 360 shots. 3. Methodology The experimented methodology consists of three phases: the first phase is 969

2 the acquisition of the video-sequence through a hand-held video camera with the aid of a steadycam for its stabilization; the second phase is focused on the pre-processing of the footage with video-tracking software that after carried out the tracking by semi-automatic operations, calibration, generation and orientation of the points cloud, will allow to obtain three-dimensional data including the geometry of the object and the real position of the camera; the third step consists of processing the data prior received to identificate the main geometry of the volumes, allowing us to generate the three-dimensional model of the fi lmed architectures Acquisition The acquisition operations were conducted on a study case of urban scale, Piazza Borghese in Rome. There were conducted two sets of different shots: the first one moving the camera with a 360 rotation, placed on a tripod in a barycentric position into the Fig.1 - Location: Piazza Borghese, Rome. Red line: total path; Red and white line: path analyzed. Cameras at frames 1, 500, 1000, 1500, 2000 are located on the map. Above we have images sequence at frames 1,500,1000, 1500,

3 square. The second set was carried out with hand-held steadycam shooting, walking along the perimeter of the square and pointing always the opposite side (fig.1). In both cases it was kept a fixed focal length of 11mm (equivalent of 17.6mm in a full-frame 35mm format). Shooting was made in FullHD video resolution (1920x1080px,30fps) Video-tracking and point cloud It is called the process that, given a video stream, locates and follows one or more moving objects in the scene. At first, the initial recording is analyzed by a camera tracking algorithm, the software attempts to find common points (groups of pixels) between adjacent frames of a shooting sequence and tracks them for the entire duration of the shot. The purpose of the tracking algorithm is to analyze video frames in order to estimate the extrinsic parameters of the camera: translation, rotation therefore orientation. The intrinsic parameters, such as the internal geometry of the camera, in our case are known in advance (focal distance, lens distortion etc) Video-tracking workflow The process leading from the frame sequence to the three-dimensional point cloud is divided into four steps: camera tracking, camera solving, point cloud 3d projection, the determination (based on one or more known measures) of the scale and orientation of the scene. Once the plate has been imported inside the software and lens distortions are corrected, we perform the camera tracking indicating the number of points and the type of their distribution to be analyzed in each frame. The result at this time is still a two-dimensional data. Through the analysis of the movement of the 2D-markers, we proceed to camera solving, which allows us to identify the internal and external parameters of the camera and rebuilt its movement inside the scene. Thanks to the 2D-markers, camera characteristics and its movement simulation, we can make a three-dimensional projection of markers and the points generated through automatic triangulations. At this time we can perform the refine process, correcting or eliminating points affected by high errors. In this case error represents the observed deviation from the camera point of view between the 2D image of a point and its three-dimensional projection. The last step consist in orienting and scaling the scene according to one or more of the measures taken in the fi eld during the shots (Figg.2-3) Scene reconstruction Once obtained the track point cloud, it is possible to reconstruct the virtual scene in two ways: by a process of image-building modeling, within the same tracking software, or by importing the point cloud into other software that perform meshing operations on the model or can add geometries Video insertion / Video communication We can import the scene and the 3D camera inside a software (cinema 4D, 3dsMax) which allows us to create an animation that includes the project intervention for which we want to simulate the impact. This animation, overlaid 971

4 Fig.2 - Tracking workfl ow: frome plate input to 3d volumes (from left to right). a. Rotoscoping and mask 972 individuation; b. Lens correction; c. Tracking features 2d; 4.Camera solver. d. Camera and scene orientation; e. Image-based Modeling

5 Fig. 3. Overlapping of point cloud with image sequence at frame 500 on the shots taken in the fi eld using matchmoving techniques, allows to get a perfect synchrony between frames and movement (Fig.4). 4. Verifying metric data In order to verify the accuracy of the metric data achieved with this technique, testing the possibility to assess an eventual use for a scientific survey of the cultural heritage, it was decided to compare the results with those obtained on the same subject but with two different and more consolidated techniques: a reality-based like laser-scanning and another image-based like digital photogrammetry. Chosen the LiDAR mesh as reference data and set a range of values between +/- 1 mt, the results are: the photogrammetric point cloud returns a 19,7 cm mean distance and a 23 cm standard deviation; the track point cloud returns a 28,35 cm mean distance and a 59 cm standard deviation. 5. Conclusions It has been tested that a tracking done on a video sequence with not corrected lens distortion, produces a point cloud with a curved shape where it was supposed to represent a building with a clear linear facade. Another consideration is related to the movement of the camera on a tripod to simulate the movement of the laser scanner. The camera is blocked and the only allowed movement is around the vertical axis for 360. The tracking operation does not return an acceptable result as it is not satisfied the parallax principle, which is essential for triangulation process. By performing experiments on the second shooting mode, hand-held camera, it have been identifi ed a number of problems due to the excessive length of 973

6 Fig.4 - Match-moving example: video communication; Fig.5 - Left: LiDAR mesh and photogrammetric point cloud; Right: LiDAR mesh and track point cloud the movie for a single processing: excessive calculation times; need for powerful hardware; high error margins (camera-track e camera-solve); less control and management of the filmed scene: appearance / disappearance of people, presence at the scene of moving objects, reflecting objects, moving clouds in the sky etc. The solution is to divide the sequence in multiple frame-range in order to optimize the working procedure. Once we get the different camera-solving, what follows is a simple operation of the different cameras collimation in order to get the full path of the original camera. 974

7 5.1. Metric considerations Both confrontation results are affected by an error component due to a manual operations of point clouds orienting and scaling based on the LiDAR mesh. A more accurate data editing and a topographic integration with the aid of targets (auto-track features) will strongly reduce this error. If the difference between the mean distances is, in both cases, acceptable for an urban scale volumetric reconstruction, it is not acceptable for the standard deviation that underlines bigger track point cloud dispersion and smaller homogeneity for the track point cloud (Fig.5). References Faugeras O., 1993, Three-Dimensional Computer Vision: a Geometric Viewpoint, MIT Press. Brinkman R., 1999, The Art and Science of Digital Compositing, Morgan Kaufmann, University of California. Gibson S., Hubbold R.J., Cook J., Howard T.L.J., 2003, Interactive reconstruction of virtual environments from video sequences, «Computers & Graphics», 27. Hartley R., Zisserman A., 2003, Multiple View Geometry in Computer Vision, Cambridge University Press. Hartley R., Zisserman A., 2004, Multiple View Geometry in Computer Vision, Cambridge 2nd ed, April, University Pr. Faugeras O., Luong Q.T., 2004, The Geometry of Multiple Images, MIT Press. Hornung E., 2010, The Art and Technique of Matchmoving: Solutions for the VFX Artist, Focal Press/Elsevier. Okun J.A., Zwerman S., 2010, The VES Handbook of Visual Effects: Industry Standard VFX Practices and Procedures, Focal Press/Elsevier. Maggio E., Cavallaro A., 2011, Video Tracking: Theory and Practice, John Wiley & Sons. De Luca L., De Domenico F., 2011, La fotomodellazione architettonica. Rilievo, modellazione, rappresentazione di edifi ci a partire da fotografi e, Dario Flaccovio Editore. Dobbert T., 2012, Matchmoving: The Invisible Art of Camera Tracking, John Wiley & Sons, 2nd ed., November. Hornung E., 2013, The Art and Technique of Matchmoving: Solutions for the VFX Artist, CRC Press. 975

An Overview of Matchmoving using Structure from Motion Methods

An Overview of Matchmoving using Structure from Motion Methods An Overview of Matchmoving using Structure from Motion Methods Kamyar Haji Allahverdi Pour Department of Computer Engineering Sharif University of Technology Tehran, Iran Email: allahverdi@ce.sharif.edu

More information

Tecnologie per la ricostruzione di modelli 3D da immagini. Marco Callieri ISTI-CNR, Pisa, Italy

Tecnologie per la ricostruzione di modelli 3D da immagini. Marco Callieri ISTI-CNR, Pisa, Italy Tecnologie per la ricostruzione di modelli 3D da immagini Marco Callieri ISTI-CNR, Pisa, Italy Who am I? Marco Callieri PhD in computer science Always had the like for 3D graphics... Researcher at the

More information

Comparing Aerial Photogrammetry and 3D Laser Scanning Methods for Creating 3D Models of Complex Objects

Comparing Aerial Photogrammetry and 3D Laser Scanning Methods for Creating 3D Models of Complex Objects Comparing Aerial Photogrammetry and 3D Laser Scanning Methods for Creating 3D Models of Complex Objects A Bentley Systems White Paper Cyril Novel Senior Software Engineer, Bentley Systems Renaud Keriven

More information

TERRESTRIAL LASER SCANNER DATA PROCESSING

TERRESTRIAL LASER SCANNER DATA PROCESSING TERRESTRIAL LASER SCANNER DATA PROCESSING L. Bornaz (*), F. Rinaudo (*) (*) Politecnico di Torino - Dipartimento di Georisorse e Territorio C.so Duca degli Abruzzi, 24 10129 Torino Tel. +39.011.564.7687

More information

Tecnologie per la ricostruzione di modelli 3D da immagini. Marco Callieri ISTI-CNR, Pisa, Italy

Tecnologie per la ricostruzione di modelli 3D da immagini. Marco Callieri ISTI-CNR, Pisa, Italy Tecnologie per la ricostruzione di modelli 3D da immagini Marco Callieri ISTI-CNR, Pisa, Italy 3D from Photos Our not-so-secret dream: obtain a reliable and precise 3D from simple photos Why? Easier, less

More information

Centre for Digital Image Measurement and Analysis, School of Engineering, City University, Northampton Square, London, ECIV OHB

Centre for Digital Image Measurement and Analysis, School of Engineering, City University, Northampton Square, London, ECIV OHB HIGH ACCURACY 3-D MEASUREMENT USING MULTIPLE CAMERA VIEWS T.A. Clarke, T.J. Ellis, & S. Robson. High accuracy measurement of industrially produced objects is becoming increasingly important. The techniques

More information

Comparing Aerial Photogrammetry and 3D Laser Scanning Methods for Creating 3D Models of Complex Objects

Comparing Aerial Photogrammetry and 3D Laser Scanning Methods for Creating 3D Models of Complex Objects www.bentley.com Comparing Aerial Photogrammetry and 3D Laser Scanning Methods for Creating 3D Models of Complex Objects A Bentley White Paper Cyril Novel Senior Software Engineer, Bentley Systems Renaud

More information

IMAGE ACQUISITION FOR DIGITAL PHOTOGRAMMETRY USING OF THE SHELF AND METRIC CAMERAS

IMAGE ACQUISITION FOR DIGITAL PHOTOGRAMMETRY USING OF THE SHELF AND METRIC CAMERAS IMAGE ACQUISITION FOR DIGITAL PHOTOGRAMMETRY USING OF THE SHELF AND METRIC CAMERAS Günter Pomaska FH Bielefeld, University of Applied Sciences Artilleriestr. 9, D32427 Minden gp@imagefact.de, www.imagefact.de

More information

Three-dimensional nondestructive evaluation of cylindrical objects (pipe) using an infrared camera coupled to a 3D scanner

Three-dimensional nondestructive evaluation of cylindrical objects (pipe) using an infrared camera coupled to a 3D scanner Three-dimensional nondestructive evaluation of cylindrical objects (pipe) using an infrared camera coupled to a 3D scanner F. B. Djupkep Dizeu, S. Hesabi, D. Laurendeau, A. Bendada Computer Vision and

More information

GABRIELE GUIDI, PHD POLITECNICO DI MILANO, ITALY VISITING SCHOLAR AT INDIANA UNIVERSITY NOV OCT D IMAGE FUSION

GABRIELE GUIDI, PHD POLITECNICO DI MILANO, ITALY VISITING SCHOLAR AT INDIANA UNIVERSITY NOV OCT D IMAGE FUSION GABRIELE GUIDI, PHD POLITECNICO DI MILANO, ITALY VISITING SCHOLAR AT INDIANA UNIVERSITY NOV 2017 - OCT 2018 3D IMAGE FUSION 3D IMAGE FUSION WHAT A 3D IMAGE IS? A cloud of 3D points collected from a 3D

More information

Chapters 1 7: Overview

Chapters 1 7: Overview Chapters 1 7: Overview Chapter 1: Introduction Chapters 2 4: Data acquisition Chapters 5 7: Data manipulation Chapter 5: Vertical imagery Chapter 6: Image coordinate measurements and refinements Chapter

More information

arxiv: v1 [cs.cv] 28 Sep 2018

arxiv: v1 [cs.cv] 28 Sep 2018 Camera Pose Estimation from Sequence of Calibrated Images arxiv:1809.11066v1 [cs.cv] 28 Sep 2018 Jacek Komorowski 1 and Przemyslaw Rokita 2 1 Maria Curie-Sklodowska University, Institute of Computer Science,

More information

Outdoor Scene Reconstruction from Multiple Image Sequences Captured by a Hand-held Video Camera

Outdoor Scene Reconstruction from Multiple Image Sequences Captured by a Hand-held Video Camera Outdoor Scene Reconstruction from Multiple Image Sequences Captured by a Hand-held Video Camera Tomokazu Sato, Masayuki Kanbara and Naokazu Yokoya Graduate School of Information Science, Nara Institute

More information

3D from Images - Assisted Modeling, Photogrammetry. Marco Callieri ISTI-CNR, Pisa, Italy

3D from Images - Assisted Modeling, Photogrammetry. Marco Callieri ISTI-CNR, Pisa, Italy 3D from Images - Assisted Modeling, Photogrammetry Marco Callieri ISTI-CNR, Pisa, Italy 3D from Photos Our not-so-secret dream: obtain a reliable and precise 3D from simple photos Why? Easier, cheaper

More information

TERRESTRIAL AND NUMERICAL PHOTOGRAMMETRY 1. MID -TERM EXAM Question 4

TERRESTRIAL AND NUMERICAL PHOTOGRAMMETRY 1. MID -TERM EXAM Question 4 TERRESTRIAL AND NUMERICAL PHOTOGRAMMETRY 1. MID -TERM EXAM Question 4 23 November 2001 Two-camera stations are located at the ends of a base, which are 191.46m long, measured horizontally. Photographs

More information

Digital Preservation of the Aurelius Church and the Hirsau Museum Complex by Means of HDS and Photogrammetric Texture Mapping

Digital Preservation of the Aurelius Church and the Hirsau Museum Complex by Means of HDS and Photogrammetric Texture Mapping Master Thesis Ruxandra MOROSAN Ruxandra MOROSAN Digital Preservation of the Aurelius Church and the Hirsau Museum Complex by Means of HDS and Photogrammetric Texture Mapping Duration of the Thesis: 6 months

More information

3D scanning. 3D scanning is a family of technologies created as a means of automatic measurement of geometric properties of objects.

3D scanning. 3D scanning is a family of technologies created as a means of automatic measurement of geometric properties of objects. Acquiring 3D shape 3D scanning 3D scanning is a family of technologies created as a means of automatic measurement of geometric properties of objects. The produced digital model is formed by geometric

More information

Introduction to photogrammetry (with an underwater flavor)

Introduction to photogrammetry (with an underwater flavor) Introduction to photogrammetry (with an underwater flavor) NAS - UCY HFF Field school, Cyprus, 2016 Dimitrios Skarlatos, Assistant Professor, Cyprus University of Technology Photogrammetric vision Lab

More information

Trimble Engineering & Construction Group, 5475 Kellenburger Road, Dayton, OH , USA

Trimble Engineering & Construction Group, 5475 Kellenburger Road, Dayton, OH , USA Trimble VISION Ken Joyce Martin Koehler Michael Vogel Trimble Engineering and Construction Group Westminster, Colorado, USA April 2012 Trimble Engineering & Construction Group, 5475 Kellenburger Road,

More information

Il colore: acquisizione e visualizzazione. Lezione 17: 11 Maggio 2012

Il colore: acquisizione e visualizzazione. Lezione 17: 11 Maggio 2012 Il colore: acquisizione e visualizzazione Lezione 17: 11 Maggio 2012 The importance of color information Precision vs. Perception 3D scanned geometry Photo Color and appearance Pure geometry Pure color

More information

HIGH-PERFORMANCE LONG-RANGE LASER SCANNER WITH CALIBRATED DIGITAL CAMERA: A HYBRID 3D LASER SENSOR SYSTEM

HIGH-PERFORMANCE LONG-RANGE LASER SCANNER WITH CALIBRATED DIGITAL CAMERA: A HYBRID 3D LASER SENSOR SYSTEM HIGH-PERFORMANCE LONG-RANGE LASER SCANNER WITH CALIBRATED DIGITAL CAMERA: A HYBRID 3D LASER SENSOR SYSTEM ANDREAS ULLRICH Technical Director RIEGL Laser Measurement Systems GmbH Horn, Austria www.riegl.co.at

More information

CS595:Introduction to Computer Vision

CS595:Introduction to Computer Vision CS595:Introduction to Computer Vision Instructor: Qi Li Instructor Course syllabus E-mail: qi.li@cs.wku.edu Office: TCCW 135 Office hours MW: 9:00-10:00, 15:00-16:00 T: 9:00-12:00, 14:00-16:00 F: 9:00-10:00

More information

VIRTUAL RECOMPOSITION AND ANALYSIS OF A SURVEYED MODEL OF THE WOODEN CRUCIFIX OF ST. PETER S BASILICA

VIRTUAL RECOMPOSITION AND ANALYSIS OF A SURVEYED MODEL OF THE WOODEN CRUCIFIX OF ST. PETER S BASILICA VIRTUAL RECOMPOSITION AND ANALYSIS OF A SURVEYED MODEL OF THE WOODEN CRUCIFIX OF ST. PETER S BASILICA CANCIANI Marco (IT), FALCOLINI Corrado (IT), PASTOR ALTABA Maria (IT) Abstract. The wooden Crucifix

More information

PROCEDURES AND METHODS OF DIGITAL MODELING IN REPRESENTATION DIDACTICS

PROCEDURES AND METHODS OF DIGITAL MODELING IN REPRESENTATION DIDACTICS PROCEDURES AND METHODS OF DIGITAL MODELING IN REPRESENTATION DIDACTICS M. La Mantia a a Dipartimento di Storia, Disegno e Reastauro dell Architettura, Sapienza Università di Roma, Italia - archmariella@gmail.com

More information

Il colore: acquisizione e visualizzazione. Lezione 20: 11 Maggio 2011

Il colore: acquisizione e visualizzazione. Lezione 20: 11 Maggio 2011 Il colore: acquisizione e visualizzazione Lezione 20: 11 Maggio 2011 Outline The importance of color What is color? Material properties vs. unshaded color Texture building from photos Image registration

More information

1 Projective Geometry

1 Projective Geometry CIS8, Machine Perception Review Problem - SPRING 26 Instructions. All coordinate systems are right handed. Projective Geometry Figure : Facade rectification. I took an image of a rectangular object, and

More information

Adobe Premiere Pro CC 2018

Adobe Premiere Pro CC 2018 Course Outline Adobe Premiere Pro CC 2018 1 TOURING ADOBE PREMIERE PRO CC Performing nonlinear editing in Premiere Pro Expanding the workflow Touring the Premiere Pro interface Keyboard shortcuts 2 SETTING

More information

Image Transformations & Camera Calibration. Mašinska vizija, 2018.

Image Transformations & Camera Calibration. Mašinska vizija, 2018. Image Transformations & Camera Calibration Mašinska vizija, 2018. Image transformations What ve we learnt so far? Example 1 resize and rotate Open warp_affine_template.cpp Perform simple resize

More information

Exterior Orientation Parameters

Exterior Orientation Parameters Exterior Orientation Parameters PERS 12/2001 pp 1321-1332 Karsten Jacobsen, Institute for Photogrammetry and GeoInformation, University of Hannover, Germany The georeference of any photogrammetric product

More information

Structured light 3D reconstruction

Structured light 3D reconstruction Structured light 3D reconstruction Reconstruction pipeline and industrial applications rodola@dsi.unive.it 11/05/2010 3D Reconstruction 3D reconstruction is the process of capturing the shape and appearance

More information

Adobe After Effects level 1 beginner course outline (3-day)

Adobe After Effects level 1 beginner course outline (3-day) http://www.americanmediatraining.com Tel: 800 2787876 Adobe After Effects level 1 beginner course outline (3-day) Lesson 1: Getting to Know the Workflow Creating a project and importing footage Creating

More information

3D MODELING OF CLOSE-RANGE OBJECTS: PHOTOGRAMMETRY OR LASER SCANNING?

3D MODELING OF CLOSE-RANGE OBJECTS: PHOTOGRAMMETRY OR LASER SCANNING? 3D MODELING OF CLOSE-RANGE OBJECTS: PHOTOGRAMMETRY OR LASER SCANNING? F. Remondino 1 A. Guarnieri 2 A. Vettore 2 1 Institute of Geodesy and Photogrammetry ETH Hönggerberg - Zurich, Switzerland e-mail:

More information

Outline. ETN-FPI Training School on Plenoptic Sensing

Outline. ETN-FPI Training School on Plenoptic Sensing Outline Introduction Part I: Basics of Mathematical Optimization Linear Least Squares Nonlinear Optimization Part II: Basics of Computer Vision Camera Model Multi-Camera Model Multi-Camera Calibration

More information

A Desktop 3D Scanner Exploiting Rotation and Visual Rectification of Laser Profiles

A Desktop 3D Scanner Exploiting Rotation and Visual Rectification of Laser Profiles A Desktop 3D Scanner Exploiting Rotation and Visual Rectification of Laser Profiles Carlo Colombo, Dario Comanducci, and Alberto Del Bimbo Dipartimento di Sistemi ed Informatica Via S. Marta 3, I-5139

More information

An Automatic Method for Adjustment of a Camera Calibration Room

An Automatic Method for Adjustment of a Camera Calibration Room An Automatic Method for Adjustment of a Camera Calibration Room Presented at the FIG Working Week 2017, May 29 - June 2, 2017 in Helsinki, Finland Theory, algorithms, implementation, and two advanced applications.

More information

Registration of Moving Surfaces by Means of One-Shot Laser Projection

Registration of Moving Surfaces by Means of One-Shot Laser Projection Registration of Moving Surfaces by Means of One-Shot Laser Projection Carles Matabosch 1,DavidFofi 2, Joaquim Salvi 1, and Josep Forest 1 1 University of Girona, Institut d Informatica i Aplicacions, Girona,

More information

Automatic Systems for Digitizing Historical Maps

Automatic Systems for Digitizing Historical Maps Martina Ballarin *, Caterina Balletti **, Caterina Gottardi *** Automatic Systems for Digitizing Historical Maps Keywords: digitization; robotic arm; 3D recording; photogrammetry; historical maps Summary:

More information

Flexible Calibration of a Portable Structured Light System through Surface Plane

Flexible Calibration of a Portable Structured Light System through Surface Plane Vol. 34, No. 11 ACTA AUTOMATICA SINICA November, 2008 Flexible Calibration of a Portable Structured Light System through Surface Plane GAO Wei 1 WANG Liang 1 HU Zhan-Yi 1 Abstract For a portable structured

More information

3D BUILDINGS MODELLING BASED ON A COMBINATION OF TECHNIQUES AND METHODOLOGIES

3D BUILDINGS MODELLING BASED ON A COMBINATION OF TECHNIQUES AND METHODOLOGIES 3D BUILDINGS MODELLING BASED ON A COMBINATION OF TECHNIQUES AND METHODOLOGIES Georgeta Pop (Manea), Alexander Bucksch, Ben Gorte Delft Technical University, Department of Earth Observation and Space Systems,

More information

A NEW TOOL FOR ARCHITECTURAL PHOTOGRAMMETRY: THE 3D NAVIGATOR S. Dequal, A. Lingua, F. Rinaudo - Politecnico di Torino - ITALY

A NEW TOOL FOR ARCHITECTURAL PHOTOGRAMMETRY: THE 3D NAVIGATOR S. Dequal, A. Lingua, F. Rinaudo - Politecnico di Torino - ITALY A NEW TOOL FOR ARCHITECTURAL PHOTOGRAMMETRY: THE 3D NAVIGATOR S. Dequal, A. Lingua, F. Rinaudo - Politecnico di Torino - ITALY KEY WORDS: 3D navigation, Digital Images, LIS, Archiving, ABSTRACT People

More information

Image Based Lighting with Near Light Sources

Image Based Lighting with Near Light Sources Image Based Lighting with Near Light Sources Shiho Furuya, Takayuki Itoh Graduate School of Humanitics and Sciences, Ochanomizu University E-mail: {shiho, itot}@itolab.is.ocha.ac.jp Abstract Recent some

More information

Image Based Lighting with Near Light Sources

Image Based Lighting with Near Light Sources Image Based Lighting with Near Light Sources Shiho Furuya, Takayuki Itoh Graduate School of Humanitics and Sciences, Ochanomizu University E-mail: {shiho, itot}@itolab.is.ocha.ac.jp Abstract Recent some

More information

A METHOD OF 3D MEASUREMENT AND RECONSTRUCTION FOR CULTURAL RELICS IN MUSEUMS

A METHOD OF 3D MEASUREMENT AND RECONSTRUCTION FOR CULTURAL RELICS IN MUSEUMS A METHOD OF 3D MEASUREMENT AND RECONSTRUCTION FOR CULTURAL RELICS IN MUSEUMS Shunyi Zheng a, Yang Zhou a, *, Rongyong Huang a, Langming Zhou a, Xuan Xu a, Chengyi Wang b a School of Remote Sensing and

More information

EVALUATION OF SEQUENTIAL IMAGES FOR PHOTOGRAMMETRICALLY POINT DETERMINATION

EVALUATION OF SEQUENTIAL IMAGES FOR PHOTOGRAMMETRICALLY POINT DETERMINATION Archives of Photogrammetry, Cartography and Remote Sensing, Vol. 22, 2011, pp. 285-296 ISSN 2083-2214 EVALUATION OF SEQUENTIAL IMAGES FOR PHOTOGRAMMETRICALLY POINT DETERMINATION Michał Kowalczyk 1 1 Department

More information

Complete High-Speed Motion Capture System

Complete High-Speed Motion Capture System Xcitex Professional Motion System Complete High-Speed Motion Capture System Life Sciences Engineering Manufacturing Automotive Up to 5 hours of continuous recording 5 1000 fps high resolution cameras Synchronize

More information

The Processing of Laser Scan Data for the Analysis of Historic Structures in Ireland

The Processing of Laser Scan Data for the Analysis of Historic Structures in Ireland The 7th International Symposium on Virtual Reality, Archaeology and Cultural Heritage VAST (2006) M. Ioannides, D. Arnold, F. Niccolucci, K. Mania (Editors) The Processing of Laser Scan Data for the Analysis

More information

Project Title: Welding Machine Monitoring System Phase II. Name of PI: Prof. Kenneth K.M. LAM (EIE) Progress / Achievement: (with photos, if any)

Project Title: Welding Machine Monitoring System Phase II. Name of PI: Prof. Kenneth K.M. LAM (EIE) Progress / Achievement: (with photos, if any) Address: Hong Kong Polytechnic University, Phase 8, Hung Hom, Kowloon, Hong Kong. Telephone: (852) 3400 8441 Email: cnerc.steel@polyu.edu.hk Website: https://www.polyu.edu.hk/cnerc-steel/ Project Title:

More information

Trimble VISION Positions from Pictures

Trimble VISION Positions from Pictures Trimble VISION Positions from Pictures This session will cover What Is Trimble VISION? Trimble VISION Portfolio What Do you Need? How Does It Work & How Accurate Is It? Applications Resources Trimble VISION

More information

CS4670: Computer Vision

CS4670: Computer Vision CS467: Computer Vision Noah Snavely Lecture 13: Projection, Part 2 Perspective study of a vase by Paolo Uccello Szeliski 2.1.3-2.1.6 Reading Announcements Project 2a due Friday, 8:59pm Project 2b out Friday

More information

Measurements using three-dimensional product imaging

Measurements using three-dimensional product imaging ARCHIVES of FOUNDRY ENGINEERING Published quarterly as the organ of the Foundry Commission of the Polish Academy of Sciences ISSN (1897-3310) Volume 10 Special Issue 3/2010 41 46 7/3 Measurements using

More information

ENGN D Photography / Spring 2018 / SYLLABUS

ENGN D Photography / Spring 2018 / SYLLABUS ENGN 2502 3D Photography / Spring 2018 / SYLLABUS Description of the proposed course Over the last decade digital photography has entered the mainstream with inexpensive, miniaturized cameras routinely

More information

VOLUMETRIC VIDEO // PLENOPTIC LIGHTFIELD // MULTI CAMERA METHODOLOGIES JORDAN HALSEY // VR PLAYHOUSE

VOLUMETRIC VIDEO // PLENOPTIC LIGHTFIELD // MULTI CAMERA METHODOLOGIES JORDAN HALSEY // VR PLAYHOUSE VOLUMETRIC VIDEO // PLENOPTIC LIGHTFIELD // MULTI CAMERA METHODOLOGIES JORDAN HALSEY // VR PLAYHOUSE VOLUMETRIC VIDEO // PLENOPTIC LIGHTFIELD // MULTI CAMERA METHODOLOGIES Pro: Highly realistic seated

More information

AR Cultural Heritage Reconstruction Based on Feature Landmark Database Constructed by Using Omnidirectional Range Sensor

AR Cultural Heritage Reconstruction Based on Feature Landmark Database Constructed by Using Omnidirectional Range Sensor AR Cultural Heritage Reconstruction Based on Feature Landmark Database Constructed by Using Omnidirectional Range Sensor Takafumi Taketomi, Tomokazu Sato, and Naokazu Yokoya Graduate School of Information

More information

Photogrammetry and 3D city modelling

Photogrammetry and 3D city modelling Digital Architecture and Construction 209 Photogrammetry and 3D city modelling Y. Kobayashi School of Architecture and Landscape Architecture, Arizona State University, USA Abstract 3D city modelling and

More information

CULTURAL HERITAGE RECORDING WITH LASER SCANNING, COMPUTER VISION AND EXPLOITATION OF ARCHITECTURAL RULES

CULTURAL HERITAGE RECORDING WITH LASER SCANNING, COMPUTER VISION AND EXPLOITATION OF ARCHITECTURAL RULES CULTURAL HERITAGE RECORDING WITH LASER SCANNING, COMPUTER VISION AND EXPLOITATION OF ARCHITECTURAL RULES Fabien Dekeyser a, François Gaspard a, Livio de Luca b, Michel Florenzano b, Xin Chen c, Pascal

More information

The Application of Close-range Photogrammetry Measurement for Landslide Monitoring

The Application of Close-range Photogrammetry Measurement for Landslide Monitoring The Application of Close-range Photogrammetry Measurement for Landslide Monitoring Yang Li School of Civil Engineering and Architecture, Southwest Petroleum University, Sichuan, 610500, China 296364831@qq.com

More information

Unmanned Aerial Systems: A Look Into UAS at ODOT

Unmanned Aerial Systems: A Look Into UAS at ODOT Ohio Department of Transportation John R. Kasich, Governor Jerry Wray, Director Unmanned Aerial Systems: Tim Burkholder, PS Mapping Manager Division of Engineering Office of CADD and Mapping Services Kyle

More information

Camera model and multiple view geometry

Camera model and multiple view geometry Chapter Camera model and multiple view geometry Before discussing how D information can be obtained from images it is important to know how images are formed First the camera model is introduced and then

More information

FAST REGISTRATION OF TERRESTRIAL LIDAR POINT CLOUD AND SEQUENCE IMAGES

FAST REGISTRATION OF TERRESTRIAL LIDAR POINT CLOUD AND SEQUENCE IMAGES FAST REGISTRATION OF TERRESTRIAL LIDAR POINT CLOUD AND SEQUENCE IMAGES Jie Shao a, Wuming Zhang a, Yaqiao Zhu b, Aojie Shen a a State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing

More information

Camera Calibration. Schedule. Jesus J Caban. Note: You have until next Monday to let me know. ! Today:! Camera calibration

Camera Calibration. Schedule. Jesus J Caban. Note: You have until next Monday to let me know. ! Today:! Camera calibration Camera Calibration Jesus J Caban Schedule! Today:! Camera calibration! Wednesday:! Lecture: Motion & Optical Flow! Monday:! Lecture: Medical Imaging! Final presentations:! Nov 29 th : W. Griffin! Dec 1

More information

Today. Stereo (two view) reconstruction. Multiview geometry. Today. Multiview geometry. Computational Photography

Today. Stereo (two view) reconstruction. Multiview geometry. Today. Multiview geometry. Computational Photography Computational Photography Matthias Zwicker University of Bern Fall 2009 Today From 2D to 3D using multiple views Introduction Geometry of two views Stereo matching Other applications Multiview geometry

More information

Characterizing Strategies of Fixing Full Scale Models in Construction Photogrammetric Surveying. Ryan Hough and Fei Dai

Characterizing Strategies of Fixing Full Scale Models in Construction Photogrammetric Surveying. Ryan Hough and Fei Dai 697 Characterizing Strategies of Fixing Full Scale Models in Construction Photogrammetric Surveying Ryan Hough and Fei Dai West Virginia University, Department of Civil and Environmental Engineering, P.O.

More information

Integrating the Generations, FIG Working Week 2008,Stockholm, Sweden June 2008

Integrating the Generations, FIG Working Week 2008,Stockholm, Sweden June 2008 H. Murat Yilmaz, Aksaray University,Turkey Omer Mutluoglu, Selçuk University, Turkey Murat Yakar, Selçuk University,Turkey Cutting and filling volume calculation are important issues in many engineering

More information

Matchmoving Technique. MatchMoving. By Zuber Zeeb. Movement Position Tilt Roll Height Focal Length Focus. Zeeb Zuber

Matchmoving Technique. MatchMoving. By Zuber Zeeb. Movement Position Tilt Roll Height Focal Length Focus. Zeeb Zuber MatchMoving By Zuber Zeeb Movement Position Tilt Roll Height Focal Length Focus This documentation gives an analysis of one of the most remarkable and predominant special effects technique, its history,

More information

LASER SCANNING AND PHOTOGRAMMETRY: A HYBRID APPROACH FOR HERITAGE DOCUMENTATION

LASER SCANNING AND PHOTOGRAMMETRY: A HYBRID APPROACH FOR HERITAGE DOCUMENTATION LASER SCANNING AND PHOTOGRAMMETRY: A HYBRID APPROACH FOR HERITAGE DOCUMENTATION Yahya Alshawabkeh, Norbert Haala Institute for Photogrammetry (ifp), University of Stuttgart, Germany Geschwister-Scholl-Strasse

More information

ANALYSIS OF KOREAN MEGALITHIC BUDDHA USING PHOTOGRAMMETRIC AND LASER SCANNING SYSTEM

ANALYSIS OF KOREAN MEGALITHIC BUDDHA USING PHOTOGRAMMETRIC AND LASER SCANNING SYSTEM ANALYSIS OF KOREAN MEGALITHIC BUDDHA USING PHOTOGRAMMETRIC AND LASER SCANNING SYSTEM Yeu, Bock-Mo*, Kim, Gi-Hong*, Sohn, Duk-Jae**, Kim, Wondae*** * Yonsei University, Korea Dept. of Civil Engineering,

More information

USE THE 3D LASER SCANNING FOR DOCUMENTATION THE RIGA CATHEDRAL IN LATVIA

USE THE 3D LASER SCANNING FOR DOCUMENTATION THE RIGA CATHEDRAL IN LATVIA USE THE 3D LASER SCANNING FOR DOCUMENTATION THE RIGA CATHEDRAL IN LATVIA Maris Kalinka, Elina Rutkovska, Department of Geomatic, Riga Technical University, Azenes 16-109, Riga, Latvia, geomatika@geomatika.lv

More information

#65 MONITORING AND PREDICTING PEDESTRIAN BEHAVIOR AT TRAFFIC INTERSECTIONS

#65 MONITORING AND PREDICTING PEDESTRIAN BEHAVIOR AT TRAFFIC INTERSECTIONS #65 MONITORING AND PREDICTING PEDESTRIAN BEHAVIOR AT TRAFFIC INTERSECTIONS Final Research Report Luis E. Navarro-Serment, Ph.D. The Robotics Institute Carnegie Mellon University Disclaimer The contents

More information

CS231M Mobile Computer Vision Structure from motion

CS231M Mobile Computer Vision Structure from motion CS231M Mobile Computer Vision Structure from motion - Cameras - Epipolar geometry - Structure from motion Pinhole camera Pinhole perspective projection f o f = focal length o = center of the camera z y

More information

Course overview. Digital Visual Effects, Spring 2005 Yung-Yu Chuang 2005/2/23

Course overview. Digital Visual Effects, Spring 2005 Yung-Yu Chuang 2005/2/23 Course overview Digital Visual Effects, Spring 2005 Yung-Yu Chuang 2005/2/23 Logistics Meeting time: 1:20pm-4:20pm, Wednesday Classroom: CSIE Room 110 Instructor: Yung-Yu Chuang (cyy@csie.ntu.edu.tw) Textbook:

More information

A General Expression of the Fundamental Matrix for Both Perspective and Affine Cameras

A General Expression of the Fundamental Matrix for Both Perspective and Affine Cameras A General Expression of the Fundamental Matrix for Both Perspective and Affine Cameras Zhengyou Zhang* ATR Human Information Processing Res. Lab. 2-2 Hikari-dai, Seika-cho, Soraku-gun Kyoto 619-02 Japan

More information

Modelling. Ruth Aylett

Modelling. Ruth Aylett Modelling Ruth Aylett Overview Basic issues Modelling packages Low polygon modelling Importing models Buildings Photogrammetry Laser range finders LIDAR The great outdoors Cheap methods 3D Authoring tools

More information

Image-based 3D Modeling Close-Range Photogrammetry: Extraction of 3D Geometry & Quality Information

Image-based 3D Modeling Close-Range Photogrammetry: Extraction of 3D Geometry & Quality Information Image-based 3D Modeling Close-Range Photogrammetry: Extraction of 3D Geometry & Quality Information Athanasios D. STYLIADIS - EPOCHE 2013 Image-based 3D Modeling (A) Introduction (B) CLOSE-RANGE PHOTOGRAMMETRIC

More information

Archeoviz: Improving the Camera Calibration Process. Jonathan Goulet Advisor: Dr. Kostas Daniilidis

Archeoviz: Improving the Camera Calibration Process. Jonathan Goulet Advisor: Dr. Kostas Daniilidis Archeoviz: Improving the Camera Calibration Process Jonathan Goulet Advisor: Dr. Kostas Daniilidis Problem Project Description Complete 3-D reconstruction of site in Tiwanaku, Bolivia Program for archeologists

More information

Introduction to 3D Machine Vision

Introduction to 3D Machine Vision Introduction to 3D Machine Vision 1 Many methods for 3D machine vision Use Triangulation (Geometry) to Determine the Depth of an Object By Different Methods: Single Line Laser Scan Stereo Triangulation

More information

Chapters 1 5. Photogrammetry: Definition, introduction, and applications. Electro-magnetic radiation Optics Film development and digital cameras

Chapters 1 5. Photogrammetry: Definition, introduction, and applications. Electro-magnetic radiation Optics Film development and digital cameras Chapters 1 5 Chapter 1: Photogrammetry: Definition, introduction, and applications Chapters 2 4: Electro-magnetic radiation Optics Film development and digital cameras Chapter 5: Vertical imagery: Definitions,

More information

STEREO VISION AND LASER STRIPERS FOR THREE-DIMENSIONAL SURFACE MEASUREMENTS

STEREO VISION AND LASER STRIPERS FOR THREE-DIMENSIONAL SURFACE MEASUREMENTS XVI CONGRESO INTERNACIONAL DE INGENIERÍA GRÁFICA STEREO VISION AND LASER STRIPERS FOR THREE-DIMENSIONAL SURFACE MEASUREMENTS BARONE, Sandro; BRUNO, Andrea University of Pisa Dipartimento di Ingegneria

More information

Comparison between two non-contact techniques for art digitalization

Comparison between two non-contact techniques for art digitalization Journal of Physics: Conference Series PAPER OPEN ACCESS Comparison between two non-contact techniques for art digitalization To cite this article: F Bianconi et al 2017 J. Phys.: Conf. Ser. 882 012005

More information

3D DEFORMATION MEASUREMENT USING STEREO- CORRELATION APPLIED TO EXPERIMENTAL MECHANICS

3D DEFORMATION MEASUREMENT USING STEREO- CORRELATION APPLIED TO EXPERIMENTAL MECHANICS 3D DEFORMATION MEASUREMENT USING STEREO- CORRELATION APPLIED TO EXPERIMENTAL MECHANICS Dorian Garcia, Jean-José Orteu École des Mines d Albi, F-81013 ALBI CT Cedex 09, France Dorian.Garcia@enstimac.fr,

More information

3D recording of archaeological excavation

3D recording of archaeological excavation 5 th International Conference Remote Sensing in Archaeology The Age of Sensing 13-15 October 2014 - Duke University 3D recording of archaeological excavation Stefano Campana UNIVERSITY of CAMBRIDGE Faculty

More information

DRC A Multi-Camera System on PC-Cluster for Real-time 3-D Tracking. Viboon Sangveraphunsiri*, Kritsana Uttamang, and Pongsakon Pedpunsri

DRC A Multi-Camera System on PC-Cluster for Real-time 3-D Tracking. Viboon Sangveraphunsiri*, Kritsana Uttamang, and Pongsakon Pedpunsri The 23 rd Conference of the Mechanical Engineering Network of Thailand November 4 7, 2009, Chiang Mai A Multi-Camera System on PC-Cluster for Real-time 3-D Tracking Viboon Sangveraphunsiri*, Kritsana Uttamang,

More information

Geometry of image formation

Geometry of image formation eometry of image formation Tomáš Svoboda, svoboda@cmp.felk.cvut.cz Czech Technical University in Prague, Center for Machine Perception http://cmp.felk.cvut.cz Last update: November 3, 2008 Talk Outline

More information

EXPERIMENTAL RESULTS ON THE DETERMINATION OF THE TRIFOCAL TENSOR USING NEARLY COPLANAR POINT CORRESPONDENCES

EXPERIMENTAL RESULTS ON THE DETERMINATION OF THE TRIFOCAL TENSOR USING NEARLY COPLANAR POINT CORRESPONDENCES EXPERIMENTAL RESULTS ON THE DETERMINATION OF THE TRIFOCAL TENSOR USING NEARLY COPLANAR POINT CORRESPONDENCES Camillo RESSL Institute of Photogrammetry and Remote Sensing University of Technology, Vienna,

More information

Synchronized Ego-Motion Recovery of Two Face-to-Face Cameras

Synchronized Ego-Motion Recovery of Two Face-to-Face Cameras Synchronized Ego-Motion Recovery of Two Face-to-Face Cameras Jinshi Cui, Yasushi Yagi, Hongbin Zha, Yasuhiro Mukaigawa, and Kazuaki Kondo State Key Lab on Machine Perception, Peking University, China {cjs,zha}@cis.pku.edu.cn

More information

Sasanka Madawalagama Geoinformatics Center Asian Institute of Technology Thailand

Sasanka Madawalagama Geoinformatics Center Asian Institute of Technology Thailand Sasanka Madawalagama Geoinformatics Center Asian Institute of Technology Thailand This learning material was not prepared by ADB. The views expressed in this document are the views of the author/s and

More information

Computer Vision. Coordinates. Prof. Flávio Cardeal DECOM / CEFET- MG.

Computer Vision. Coordinates. Prof. Flávio Cardeal DECOM / CEFET- MG. Computer Vision Coordinates Prof. Flávio Cardeal DECOM / CEFET- MG cardeal@decom.cefetmg.br Abstract This lecture discusses world coordinates and homogeneous coordinates, as well as provides an overview

More information

Dense 3D Reconstruction. Christiano Gava

Dense 3D Reconstruction. Christiano Gava Dense 3D Reconstruction Christiano Gava christiano.gava@dfki.de Outline Previous lecture: structure and motion II Structure and motion loop Triangulation Today: dense 3D reconstruction The matching problem

More information

Rigid Body Motion and Image Formation. Jana Kosecka, CS 482

Rigid Body Motion and Image Formation. Jana Kosecka, CS 482 Rigid Body Motion and Image Formation Jana Kosecka, CS 482 A free vector is defined by a pair of points : Coordinates of the vector : 1 3D Rotation of Points Euler angles Rotation Matrices in 3D 3 by 3

More information

3GSM GmbH. Plüddemanngasse 77 A-8010 Graz, Austria Tel Fax:

3GSM GmbH. Plüddemanngasse 77 A-8010 Graz, Austria Tel Fax: White Paper Graz, April 2014 3GSM GmbH Plüddemanngasse 77 A-8010 Graz, Austria Tel. +43-316-464744 Fax: +43-316-464744-11 office@3gsm.at www.3gsm.at Measurement and assessment of rock and terrain surfaces

More information

The following section has objective questions. Please select the right answer. Each question carries 2 marks.

The following section has objective questions. Please select the right answer. Each question carries 2 marks. No. of Printed Pages : 6 BNM-00 BACHELOR OF ARTS IN 3D ANIMATION AND VISUAL EFFECTS Term-End Theory Examination December, 017 00090 BNM-00 : CASE STUDIES Time : 3 hours Maximum Marks : 100 Weightage 100%

More information

Step-by-Step Model Buidling

Step-by-Step Model Buidling Step-by-Step Model Buidling Review Feature selection Feature selection Feature correspondence Camera Calibration Euclidean Reconstruction Landing Augmented Reality Vision Based Control Sparse Structure

More information

Metadata Requirements for Digital Museum Environments

Metadata Requirements for Digital Museum Environments Metadata Requirements for Digital Museum Environments Manjula Patel UKOLN, University of Bath m.patel@ukoln.ac.uk Unless otherwise stated this work is licensed under a Creative Commons Attribution-ShareAlike

More information

Digital Softcopy Photogrammetry

Digital Softcopy Photogrammetry LLP Erasmus IP EPOCHE 2013 Thassos Island, Greece, 2-16 June 2013 Digital Softcopy Photogrammetry Prof. Levente DIMEN The 1 Decembrie 1918 University of Alba Iulia, Romania GENERAL CONTEXT In the last

More information

THE ETRUSCANS IN 3D: FROM SPACE TO UNDERGROUND

THE ETRUSCANS IN 3D: FROM SPACE TO UNDERGROUND THE ETRUSCANS IN 3D: FROM SPACE TO UNDERGROUND Fabio Remondino 1, Alessandro Rizzi 1, Belen Jimenez 1, Giorgio Agugiaro 1, Giorgio Baratti 1, Raffaele De Amicis 2 (1) 3D Optical Metrology (3DOM) Bruno

More information

EASY PROJECTOR AND MONOCHROME CAMERA CALIBRATION METHOD USING PLANE BOARD WITH MULTIPLE ENCODED MARKERS

EASY PROJECTOR AND MONOCHROME CAMERA CALIBRATION METHOD USING PLANE BOARD WITH MULTIPLE ENCODED MARKERS EASY PROJECTOR AND MONOCHROME CAMERA CALIBRATION METHOD USING PLANE BOARD WITH MULTIPLE ENCODED MARKERS Tatsuya Hanayama 1 Shota Kiyota 1 Ryo Furukawa 3 Hiroshi Kawasaki 1 1 Faculty of Engineering, Kagoshima

More information

Gregory Walsh, Ph.D. San Ramon, CA January 25, 2011

Gregory Walsh, Ph.D. San Ramon, CA January 25, 2011 Leica ScanStation:: Calibration and QA Gregory Walsh, Ph.D. San Ramon, CA January 25, 2011 1. Summary Leica Geosystems, in creating the Leica Scanstation family of products, has designed and conducted

More information

CRONOS 3D DIMENSIONAL CERTIFICATION

CRONOS 3D DIMENSIONAL CERTIFICATION CRONOS 3D DIMENSIONAL CERTIFICATION This dimensional certification is structured as follow: 1. 2. 3. 4. 5. Test description Dimensional report basic workflow Dimensional report, acquisition field 18mm

More information

On-line and Off-line 3D Reconstruction for Crisis Management Applications

On-line and Off-line 3D Reconstruction for Crisis Management Applications On-line and Off-line 3D Reconstruction for Crisis Management Applications Geert De Cubber Royal Military Academy, Department of Mechanical Engineering (MSTA) Av. de la Renaissance 30, 1000 Brussels geert.de.cubber@rma.ac.be

More information

LASER SCANNING SUPPORTS ARCHITECTURAL MAPPINGS AND HISTORICAL URBAN VIEW ANALYSIS

LASER SCANNING SUPPORTS ARCHITECTURAL MAPPINGS AND HISTORICAL URBAN VIEW ANALYSIS LASER SCANNING SUPPORTS ARCHITECTURAL MAPPINGS AND HISTORICAL URBAN VIEW ANALYSIS Daniela ORENI*, Francesco FASSI**, Raffaella BRUMANA**, Federico PRANDI**, Hande TUNCER** * DIAP - Politecnico di Milano

More information

Structured Light II. Thanks to Ronen Gvili, Szymon Rusinkiewicz and Maks Ovsjanikov

Structured Light II. Thanks to Ronen Gvili, Szymon Rusinkiewicz and Maks Ovsjanikov Structured Light II Johannes Köhler Johannes.koehler@dfki.de Thanks to Ronen Gvili, Szymon Rusinkiewicz and Maks Ovsjanikov Introduction Previous lecture: Structured Light I Active Scanning Camera/emitter

More information