Chapters 1-4: Summary
|
|
- Paul White
- 6 years ago
- Views:
Transcription
1 Chapters 1-4: Summary So far, we have been investigating the image acquisition process. Chapter 1: General introduction Chapter 2: Radiation source and properties Chapter 3: Radiation interaction with the lens system Factors affecting the precision and the accuracy of the image coordinate measurements Chapter 4: Radiation interaction with the light sensitive material along the focal/image plane Analog & digital imaging systems 1
2 CE59700: Chapter 5 Vertical Photography 2
3 Overview Image versus map characteristics Vertical photography: definitions and characteristics Image scale Mathematical relationship between corresponding image and ground coordinates Relief displacement 3
4 An Image Versus a Map ed c b a Image Plane a b c d e Map Perspective center A B C D E A B C D E A B C D E Image Datum A B C D E Map Datum 4
5 An Image Versus a Map Images have the following properties: Perspective projection, and Non-uniform scale. Maps, on the other hand, have the following characteristics: Orthogonal (parallel) projection, and Uniform scale. 5
6 Perspective Versus Orthogonal Projection Cone Cone Building Cylinder Building Cylinder Perspective Projection Orthogonal Projection 6
7 Perspective Versus Orthogonal Projection Perspective Projection Orthogonal Projection 7
8 Perspective Versus Orthogonal Projection Perspective Projection Orthogonal Projection 8
9 Perspective Versus Orthogonal Projection Perspective Projection Orthogonal Projection 9
10 Vertical Photography Optical axis coincides with the plumb line vertical image. 10
11 Vertical Photography Vertical images are taken with the camera optical axis coinciding with the plumb line (True Vertical Image). Nearly Vertical Image: There is a tilt angle between the camera optical axis and the plumb line of ±3. 11
12 Basic Elements of a Vertical Aerial Image y-axis Flight direction Format size x-axis x p y p Fiducial mark Fiducial center (F.C.) Principal point (p.p.) Principal distance Focal length Nadir point (n) Perspective center Flying height above datum (H) 12
13 Fiducial Marks in Analog Metric Cameras 13
14 Basic Definitions Nadir Point (n): The intersection of the plumb (gravity) line through the perspective center with the image plane. Principal Point (PP): The intersection of the normal to the image plane through the perspective center with the image plane. The normal to the image plane is assumed to coincide with the optical axis. Principal Distance (c): The normal distance between the perspective center and the image plane (compare with the focal length - refer to the lens equation). Sometimes, it is denoted as the camera constant. 14
15 Basic Definitions Flying Height (H): The elevation of the perspective center above the stated datum. X-axis of the image coordinate system: The line in the image plane through opposite fiducial marks that are almost parallel to the flight direction. Y-axis of the image coordinate system: The line in the image plane through opposite fiducial marks that are almost normal to the flight direction. 15
16 Image Scale b a Focal length f Perspective center Flying height H Ground A B Average terrain h 1 h (average) 16
17 Image Scale Image scale: It is the ratio between a distance on the image and the corresponding distance on the ground. Since the image is a central projection, it does not have a uniform scale (only one exception exists). Image Scale = ab / AB = c / (H - h) Assuming vertical photography Exception: Vertical image over a flat horizontal terrain has a uniform scale (i.e., it can be used as a map). 17
18 Tilt Effect on Image Scale 18
19 From Image to Ground Coordinates 19
20 From Image to Ground Coordinates Objective: Derive the ground coordinates of object points from the measured coordinates of the corresponding image points. Assumptions: We are dealing with a vertical image. We are dealing with an image captured by frame camera: Captured by analog or digital camera Analog or digital format Diapositive 20
21 Frame Camera Focal Plane Perspective Center Footprint The image footprint is captured through a single exposure. 21
22 Negative Versus Positive Negative Diapositive Perspective Center Footprint 22
23 Image Coordinate Systems Flight Direction z Perspective Center y x a ya a x Assumption: principal point coincides with the Fiducial center. 23
24 Analog Camera: RC
25 Fiducial Marks in Analog Metric Cameras 25
26 Image Coordinate System: Digital Images Digital images can be acquired through either: Scanning analog images Direct use of digital cameras For scanned analog images, the image coordinate system is defined in the same way as analog imagery captured by metric cameras. For digital images captured by digital cameras, the image coordinate system is defined by the central row(s) and the central column(s). 26
27 Example of Photogrammetric Scanner 27
28 Digital Camera: DMC TM _24870/Photogramm%C3%A9trie%20- %20cam%C3%A9ras%20num%C3%A9riques.jpg 28
29 Digital Images captured by Digital Cameras y` y x x` Pixel Coordinates Image Coordinates 29
30 Pixel to Image Coordinate Transformation x ( y nc / 2.0 ) y _ y ( n / 2.0 x ) x _ where n n c r r pix _ pix _ size size : Number of columns Number of rows x _ pix _ size Pixel size along the y _ pix _ size Pixel size along the row direction column direction 30
31 Ground Coordinate System Z Y A X A Z A Y A X 31
32 Ground Coordinates from Image Coordinates PC z Z y x Y A X A Z A Y A X 32
33 Ground Coordinates from Image Coordinates Assumptions: Vertical imagery, The image and ground coordinate systems are parallel, The origin of the ground coordinate system is vertically below the perspective center, and The principal point coincides with the Fiducial center From similar triangles, one gets: X A = x a (H - h A ) / c Y A = y a (H - h A ) / c 33
34 Ground Coordinates from Image Coordinates a b c Negative plane f f y c b Perspective center x a Positive diapositive contact print Flying height (H) Y X p A C Ground level B 34
35 Question: Single Photo Positioning? Can we derive the three-dimensional coordinates of an object point from a single photo? Answer: No We assumed that we know the height of the object point under consideration. 35
36 Single Photo Positioning? a (image point) Perspective Center (Single Light Ray) h A 36
37 Relief Displacement 37
38 Relief Displacement a a o f Focal length H H-h A r' r d (Relief displacement) A A o h A A P Datum R 38
39 Relief Displacement The shift in the photographic position of an image point caused by the height of the corresponding object point above or below the datum. From similar triangles, one gets: d a = r h A / H Relief displacement occurs along the radial direction from the nadir point. For vertical imagery over flat horizontal terrain, the effect of relief displacement simulates a uniform change in the scale. 39
40 Relief Displacement Assumption: nadir point coincides with the Fiducial center. 40
41 Relief Displacement 41
42 Relief Displacement Patch from the left image Patch from the right image PP PP Where are the principal points? 42
43 Relief Displacement Light pole 43
44 Relief Displacement Relief Displacement increases with the radial distance. 44
45 Relief Displacement Relief Displacement is directly proportional to: Radial distance from the nadir point, and Object height above the datum. Relief Displacement is inversely proportional to: Flying height above the datum. Relief displacement causes occlusion. 45
46 Relief Displacement: Characteristics Relief displacement is outward for points whose elevations are above the datum (diapositive). Relief displacement is inward for points whose elevations are below the datum (diapositive). Relief displacement occurs along radial direction from the nadir point of the image. For vertical photographs: The nadir point (n), the principal point (PP), and the Fiducial center (FC) are very close to each other. 46
47 Relief Displacement: Characteristics Inward displacement Outward displacement 47
48 Relief Displacement & Occlusion Occluded Area 48
49 Relief Displacement & Occlusion 49
50 Relief Displacement & Occlusion Occluded Area 50
51 Relief Displacement & Occlusion 51
52 Relief Displacement & Occlusion Occluded Area 52
53 Relief Displacement & Occlusion Patch from the left image Patch from the right image Where are these patches relative to the original images? 53
54 Relief Displacement & Occlusion 54
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 informationChapters 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 informationChapters 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 informationPhotogrammetry: DTM Extraction & Editing
Photogrammetry: DTM Extraction & Editing How can one determine the x, y, and z of a location? Approaches to DTM Extraction Ground surveying Digitized topographic maps Traditional photogrammetry Hardcopy
More informationStereoscopic Models and Plotting
Stereoscopic Models and Plotting Stereoscopic Viewing Stereoscopic viewing is the way the depth perception of the objects through BINOCULAR vision with much greater accuracy. رؤيه البعد الثالث و االحساس
More informationIntroduction Photogrammetry Photos light Gramma drawing Metron measure Basic Definition The art and science of obtaining reliable measurements by mean
Photogrammetry Review Neil King King and Associates Testing is an art Introduction Read the question Re-Read Read The question What is being asked Answer what is being asked Be in the know Exercise the
More informationExterior 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 informationChapters 1 9: Overview
Chapters 1 9: Overview Chapter 1: Introduction Chapters 2 4: Data acquisition Chapters 5 9: Data manipulation Chapter 5: Vertical imagery Chapter 6: Image coordinate measurements and refinements Chapters
More informationMeasurement of Direction: Bearing vs. Azimuth
Week 5 Monday Measurement of Direction: Bearing vs. Azimuth Bearing Is an angle of 90 o or less Measured from either North or South in easterly & westerly directions. North 22 o West, South 89 o West,
More informationLow-Cost Orthophoto Production Using OrthoMapper Software
Low-Cost Orthophoto Production Using OrthoMapper Software Rick Day Penn State Cooperative Extension, Geospatial Technology Program, RGIS-Chesapeake Air Photos Historical air photos are available from a
More informationGeometry of Aerial photogrammetry. Panu Srestasathiern, PhD. Researcher Geo-Informatics and Space Technology Development Agency (Public Organization)
Geometry of Aerial photogrammetry Panu Srestasathiern, PhD. Researcher Geo-Informatics and Space Technology Development Agency (Public Organization) Image formation - Recap The geometry of imaging system
More informationTERRESTRIAL 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 informationChapters 1 7: Overview
Chapters 1 7: Overview Photogrammetric mapping: introduction, applications, and tools GNSS/INS-assisted photogrammetric and LiDAR mapping LiDAR mapping: principles, applications, mathematical model, and
More informationLecture 5. Relief displacement. Parallax. Monoscopic and stereoscopic height measurement. Photo Project. Soft-copy Photogrammetry.
NRMT 2270, Photogrammetry/Remote Sensing Lecture 5 Relief displacement. Parallax. Monoscopic and stereoscopic height measurement. Photo Project. Soft-copy Photogrammetry. Tomislav Sapic GIS Technologist
More informationCamera 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 informationPhotogrammetry: DTM Extraction & Editing
Photogrammetry: DTM Extraction & Editing Review of terms Vertical aerial photograph Perspective center Exposure station Fiducial marks Principle point Air base (Exposure Station) Digital Photogrammetry:
More informationCOORDINATE TRANSFORMATION. Lecture 6
COORDINATE TRANSFORMATION Lecture 6 SGU 1053 SURVEY COMPUTATION 1 Introduction Geomatic professional are mostly confronted in their work with transformations from one two/three-dimensional coordinate system
More informationDIGITAL ORTHOPHOTO GENERATION
DIGITAL ORTHOPHOTO GENERATION Manuel JAUREGUI, José VÍLCHE, Leira CHACÓN. Universit of Los Andes, Venezuela Engineering Facult, Photogramdemr Institute, Email leirac@ing.ula.ven Working Group IV/2 KEY
More informationHow tall is Nutting Hall?
How tall is Nutting Hall? IMAGE DISPLACEMENT on vertical airphotos airphoto (central projection) On a single airphoto topographic-displacement method shadow method On stereo pairs the parallax-height equation
More informationChapter 1: Overview. Photogrammetry: Introduction & Applications Photogrammetric tools:
Chapter 1: Overview Photogrammetry: Introduction & Applications Photogrammetric tools: Rotation matrices Photogrammetric point positioning Photogrammetric bundle adjustment This chapter will cover the
More informationMONO-IMAGE INTERSECTION FOR ORTHOIMAGE REVISION
MONO-IMAGE INTERSECTION FOR ORTHOIMAGE REVISION Mohamed Ibrahim Zahran Associate Professor of Surveying and Photogrammetry Faculty of Engineering at Shoubra, Benha University ABSTRACT This research addresses
More informationCHAPTER 3. Single-view Geometry. 1. Consequences of Projection
CHAPTER 3 Single-view Geometry When we open an eye or take a photograph, we see only a flattened, two-dimensional projection of the physical underlying scene. The consequences are numerous and startling.
More informationScene Modeling for a Single View
Scene Modeling for a Single View René MAGRITTE Portrait d'edward James with a lot of slides stolen from Steve Seitz and David Brogan, Breaking out of 2D now we are ready to break out of 2D And enter the
More informationCS6670: Computer Vision
CS6670: Computer Vision Noah Snavely Lecture 5: Projection Reading: Szeliski 2.1 Projection Reading: Szeliski 2.1 Projection Müller Lyer Illusion http://www.michaelbach.de/ot/sze_muelue/index.html Modeling
More informationPLS - EXAMINATION PREPARATION PHOTOGRAMMETRY 101. A paper on the principles of photogrammetric mapping
Photogrammetric Consultants PLS - EXAMINATION PREPARATION PHOTOGRAMMETRY 101 A paper on the principles of photogrammetric mapping Photogrammetry is the art and science of obtaining reliable measurements
More informationRepresentative Fraction (RF) is a numerical statement of the scale relationship. e.g., 1:24,000 or 1/24,000
Scale and Measurement Scale can be deined as a statement o the relationship between the distance o a map or image in relation to the distance on the Earth surace. This association may be displayed using
More informationAUTOMATIC GENERATION OF DIGITAL BUILDING MODELS FOR COMPLEX STRUCTURES FROM LIDAR DATA
AUTOMATIC GENERATION OF DIGITAL BUILDING MODELS FOR COMPLEX STRUCTURES FROM LIDAR DATA Changjae Kim a, Ayman Habib a, *, Yu-Chuan Chang a a Geomatics Engineering, University of Calgary, Canada - habib@geomatics.ucalgary.ca,
More informationCamera Model and Calibration
Camera Model and Calibration Lecture-10 Camera Calibration Determine extrinsic and intrinsic parameters of camera Extrinsic 3D location and orientation of camera Intrinsic Focal length The size of the
More informationAn Intuitive Explanation of Fourier Theory
An Intuitive Explanation of Fourier Theory Steven Lehar slehar@cns.bu.edu Fourier theory is pretty complicated mathematically. But there are some beautifully simple holistic concepts behind Fourier theory
More informationCourse Outline (1) #6 Data Acquisition for Built Environment. Fumio YAMAZAKI
AT09.98 Applied GIS and Remote Sensing for Disaster Mitigation #6 Data Acquisition for Built Environment 9 October, 2002 Fumio YAMAZAKI yamazaki@ait.ac.th http://www.star.ait.ac.th/~yamazaki/ Course Outline
More informationElements of Analytical Photogrammetry
Chapter 5 Elements of Analytical hotogrammetry 5.1 Introduction, Concept of Image and Object Space hotogrammetry is the science of obtaining reliable information about objects and of measuring and interpreting
More informationECE-161C Cameras. Nuno Vasconcelos ECE Department, UCSD
ECE-161C Cameras Nuno Vasconcelos ECE Department, UCSD Image formation all image understanding starts with understanding of image formation: projection of a scene from 3D world into image on 2D plane 2
More informationGE 119 PHOTOGRAMMETRY 2
GE 119 PHOTOGRAMMETRY 2 Topic 3. Principles of Stereophotogrammetry Instructor: Engr. Jojene R. Santillan jrsantillan@carsu.edu.ph santillan.jr3@gmail.com Division of Geodetic Engineering College of Engineering
More informationLPS Project Manager User s Guide. November 2009
LPS Project Manager User s Guide November 2009 Copyright 2009 ERDAS, Inc. All rights reserved. Printed in the United States of America. The information contained in this document is the exclusive property
More informationCIS 580, Machine Perception, Spring 2016 Homework 2 Due: :59AM
CIS 580, Machine Perception, Spring 2016 Homework 2 Due: 2015.02.24. 11:59AM Instructions. Submit your answers in PDF form to Canvas. This is an individual assignment. 1 Recover camera orientation By observing
More informationStereo imaging ideal geometry
Stereo imaging ideal geometry (X,Y,Z) Z f (x L,y L ) f (x R,y R ) Optical axes are parallel Optical axes separated by baseline, b. Line connecting lens centers is perpendicular to the optical axis, and
More information1. Introduction. A CASE STUDY Dense Image Matching Using Oblique Imagery Towards All-in- One Photogrammetry
Submitted to GIM International FEATURE A CASE STUDY Dense Image Matching Using Oblique Imagery Towards All-in- One Photogrammetry Dieter Fritsch 1, Jens Kremer 2, Albrecht Grimm 2, Mathias Rothermel 1
More informationMap Compilation CHAPTER HISTORY
CHAPTER 7 Map Compilation 7.1 HISTORY Producing accurate commercial maps from aerial photography began in the 1930s. The technology of stereomapping over the last 70 years has brought vast technological
More informationCamera Model and Calibration. Lecture-12
Camera Model and Calibration Lecture-12 Camera Calibration Determine extrinsic and intrinsic parameters of camera Extrinsic 3D location and orientation of camera Intrinsic Focal length The size of the
More informationTILTED PHOTOGRAPHS DEFINITIONS. Center for Photogrammetric Training Ferris State University
TILTED PHOTOGRAPHS Center fr Phtgrammetric Training Ferris State University RCB DEFINITIONS Nadir pint (n) Grund nadir pint (N) Principal plane Principal line Azimuth (α) Tilt (t) Swing (s) Church angles
More informationCamera Calibration for Video See-Through Head-Mounted Display. Abstract. 1.0 Introduction. Mike Bajura July 7, 1993
Camera Calibration for Video See-Through Head-Mounted Display Mike Bajura July 7, 1993 Abstract This report describes a method for computing the parameters needed to model a television camera for video
More informationExtracting Elevation from Air Photos
Extracting Elevation from Air Photos TUTORIAL A digital elevation model (DEM) is a digital raster surface representing the elevations of a terrain for all spatial ground positions in the image. Traditionally
More informationACCURACY ANALYSIS FOR NEW CLOSE-RANGE PHOTOGRAMMETRIC SYSTEMS
ACCURACY ANALYSIS FOR NEW CLOSE-RANGE PHOTOGRAMMETRIC SYSTEMS Dr. Mahmoud El-Nokrashy O. ALI Prof. of Photogrammetry, Civil Eng. Al Azhar University, Cairo, Egypt m_ali@starnet.com.eg Dr. Mohamed Ashraf
More informationAUTOMATED 4 AXIS ADAYfIVE SCANNING WITH THE DIGIBOTICS LASER DIGITIZER
AUTOMATED 4 AXIS ADAYfIVE SCANNING WITH THE DIGIBOTICS LASER DIGITIZER INTRODUCTION The DIGIBOT 3D Laser Digitizer is a high performance 3D input device which combines laser ranging technology, personal
More informationChapter 7: Geometrical Optics. The branch of physics which studies the properties of light using the ray model of light.
Chapter 7: Geometrical Optics The branch of physics which studies the properties of light using the ray model of light. Overview Geometrical Optics Spherical Mirror Refraction Thin Lens f u v r and f 2
More informationImage georeferencing is the process of developing a model to transform from pixel coordinates into GIS coordinates such as meters on the ground.
Image georeferencing is the process of developing a model to transform from pixel coordinates into GIS coordinates such as meters on the ground. Image rectification is the process of using your georeferencing
More informationPOSITIONING A PIXEL IN A COORDINATE SYSTEM
GEOREFERENCING AND GEOCODING EARTH OBSERVATION IMAGES GABRIEL PARODI STUDY MATERIAL: PRINCIPLES OF REMOTE SENSING AN INTRODUCTORY TEXTBOOK CHAPTER 6 POSITIONING A PIXEL IN A COORDINATE SYSTEM The essential
More informationIntegrating 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 informationComputer Vision Projective Geometry and Calibration. Pinhole cameras
Computer Vision Projective Geometry and Calibration Professor Hager http://www.cs.jhu.edu/~hager Jason Corso http://www.cs.jhu.edu/~jcorso. Pinhole cameras Abstract camera model - box with a small hole
More informationAP Physics: Curved Mirrors and Lenses
The Ray Model of Light Light often travels in straight lines. We represent light using rays, which are straight lines emanating from an object. This is an idealization, but is very useful for geometric
More informationPhotogrammetric Rectification of Oblique Trimetrogon Imagery Trent Technical Note 99-1
Photogrammetric Rectification of Oblique Trimetrogon Imagery Trent Technical Note 99-1 J. Graham Cogley June 1999 Department of Geography TRENT UNIVERSITY PETERBOROUGH ONTARIO CANADA K9J 7B8 Photogrammetric
More informationMayden VP of Business Development Surdex Corporation
Making Sense of Sensors Randy Mayden, Mayden VP of Business Development Surdex Corporation randym@surdex.com EARLYAERIAL PHOTOGRAPHY 2 FIRSTAERIAL CAMERA 3 AERIAL CAMERA SYSTEM DEVELOPMENT Aerial Camera
More informationPhysics 1C Lecture 26A. Beginning of Chapter 26
Physics 1C Lecture 26A Beginning of Chapter 26 Mirrors and Lenses! As we have noted before, light rays can be diverted by optical systems to fool your eye into thinking an object is somewhere that it is
More informationFall 2016 Semester METR 3113 Atmospheric Dynamics I: Introduction to Atmospheric Kinematics and Dynamics
Fall 2016 Semester METR 3113 Atmospheric Dynamics I: Introduction to Atmospheric Kinematics and Dynamics Lecture 5 August 31 2016 Topics: Polar coordinate system Conversion of polar coordinates to 2-D
More informationOmni Stereo Vision of Cooperative Mobile Robots
Omni Stereo Vision of Cooperative Mobile Robots Zhigang Zhu*, Jizhong Xiao** *Department of Computer Science **Department of Electrical Engineering The City College of the City University of New York (CUNY)
More informationCreating a distortion characterisation dataset for visual band cameras using fiducial markers.
Creating a distortion characterisation dataset for visual band cameras using fiducial markers. Robert Jermy Council for Scientific and Industrial Research Email: rjermy@csir.co.za Jason de Villiers Council
More informationReality Modeling Drone Capture Guide
Reality Modeling Drone Capture Guide Discover the best practices for photo acquisition-leveraging drones to create 3D reality models with ContextCapture, Bentley s reality modeling software. Learn the
More information6. Rectification 2 hours
Lecture 6-1 - 11/2/2003 Concept Hell/Pfeiffer February 2003 6. ectification 2 hours Aim: Principles for rectification Theory: Indirect rectification in digital image processing Methods of rectification
More informationSection 10.1 Polar Coordinates
Section 10.1 Polar Coordinates Up until now, we have always graphed using the rectangular coordinate system (also called the Cartesian coordinate system). In this section we will learn about another system,
More informationIMAGE 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 informationChapter 23. Geometrical Optics (lecture 1: mirrors) Dr. Armen Kocharian
Chapter 23 Geometrical Optics (lecture 1: mirrors) Dr. Armen Kocharian Reflection and Refraction at a Plane Surface The light radiate from a point object in all directions The light reflected from a plane
More informationAugmented Reality II - Camera Calibration - Gudrun Klinker May 11, 2004
Augmented Reality II - Camera Calibration - Gudrun Klinker May, 24 Literature Richard Hartley and Andrew Zisserman, Multiple View Geometry in Computer Vision, Cambridge University Press, 2. (Section 5,
More informationORIENTATION THEORY FOR SATELLITE CCD LINE-SCANNER IMAGERIES OF HILLY TERRAINS ATSUSHIOKAMOTO SIN-ICHI AKAMATU KYOTO UNIVERSITY KYOTO JAPAN
ORIENTATION THEORY FOR SATELLITE CCD LINE-SCANNER IMAGERIES OF HILLY TERRAINS ATSUSHIOKAMOTO SIN-ICHI AKAMATU KYOTO UNIVERSITY KYOTO JAPAN HIROYUKI HASEGAWA PASCO CORPORATION TOKYO JAPAN COMMISSION II
More informationUnderstanding Variability
Understanding Variability Why so different? Light and Optics Pinhole camera model Perspective projection Thin lens model Fundamental equation Distortion: spherical & chromatic aberration, radial distortion
More informationGeometric Correction
CEE 6150: Digital Image Processing Geometric Correction 1 Sources of Distortion Sensor Characteristics optical distortion aspect ratio non-linear mirror velocity detector geometry & scanning sequence Viewing
More informationCamera 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 informationSingle-view 3D Reconstruction
Single-view 3D Reconstruction 10/12/17 Computational Photography Derek Hoiem, University of Illinois Some slides from Alyosha Efros, Steve Seitz Notes about Project 4 (Image-based Lighting) You can work
More informationGALILEO SISCAM APPROACH TO DIGITAL PHOTOGRAMMETRY. F. Flamigni A. Viti Galileo Siscam S.p.A.
GALILEO SISCAM APPROACH TO DIGITAL PHOTOGRAMMETRY F. Flamigni A. Viti Galileo Siscam S.p.A. ABSTRACT: The application of the least squares matching procedure to an analytical stereoplotter is described.
More informationADS40 Calibration & Verification Process. Udo Tempelmann*, Ludger Hinsken**, Utz Recke*
ADS40 Calibration & Verification Process Udo Tempelmann*, Ludger Hinsken**, Utz Recke* *Leica Geosystems GIS & Mapping GmbH, Switzerland **Ludger Hinsken, Author of ORIMA, Konstanz, Germany Keywords: ADS40,
More informationA SYSTEM OF THE SHADOW DETECTION AND SHADOW REMOVAL FOR HIGH RESOLUTION CITY AERIAL PHOTO
A SYSTEM OF THE SHADOW DETECTION AND SHADOW REMOVAL FOR HIGH RESOLUTION CITY AERIAL PHOTO Yan Li a, Tadashi Sasagawa b, Peng Gong a,c a International Institute for Earth System Science, Nanjing University,
More informationRobotics - Projective Geometry and Camera model. Marcello Restelli
Robotics - Projective Geometr and Camera model Marcello Restelli marcello.restelli@polimi.it Dipartimento di Elettronica, Informazione e Bioingegneria Politecnico di Milano Ma 2013 Inspired from Matteo
More informationA NEW APPROACH FOR GENERATING A MEASURABLE SEAMLESS STEREO MODEL BASED ON MOSAIC ORTHOIMAGE AND STEREOMATE
A NEW APPROACH FOR GENERATING A MEASURABLE SEAMLESS STEREO MODEL BASED ON MOSAIC ORTHOIMAGE AND STEREOMATE Mi Wang State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
More informationCOSC579: Scene Geometry. Jeremy Bolton, PhD Assistant Teaching Professor
COSC579: Scene Geometry Jeremy Bolton, PhD Assistant Teaching Professor Overview Linear Algebra Review Homogeneous vs non-homogeneous representations Projections and Transformations Scene Geometry The
More informationCamera Models and Image Formation. Srikumar Ramalingam School of Computing University of Utah
Camera Models and Image Formation Srikumar Ramalingam School of Computing University of Utah srikumar@cs.utah.edu Reference Most slides are adapted from the following notes: Some lecture notes on geometric
More informationDD2429 Computational Photography :00-19:00
. Examination: DD2429 Computational Photography 202-0-8 4:00-9:00 Each problem gives max 5 points. In order to pass you need about 0-5 points. You are allowed to use the lecture notes and standard list
More informationChapter 5. Transforming Shapes
Chapter 5 Transforming Shapes It is difficult to walk through daily life without being able to see geometric transformations in your surroundings. Notice how the leaves of plants, for example, are almost
More informationUniversity of Technology Building & Construction Department / Remote Sensing & GIS lecture
5. Corrections 5.1 Introduction 5.2 Radiometric Correction 5.3 Geometric corrections 5.3.1 Systematic distortions 5.3.2 Nonsystematic distortions 5.4 Image Rectification 5.5 Ground Control Points (GCPs)
More informationBUNDLE BLOCK ADJUSTMENT WITH HIGH RESOLUTION ULTRACAMD IMAGES
BUNDLE BLOCK ADJUSTMENT WITH HIGH RESOLUTION ULTRACAMD IMAGES I. Baz*, G. Buyuksalih*, K. Jacobsen** * BIMTAS, Tophanelioglu Cad. ISKI Hizmet Binasi No:62 K.3-4 34460 Altunizade-Istanbul, Turkey gb@bimtas.com.tr
More informationCamera Models and Image Formation. Srikumar Ramalingam School of Computing University of Utah
Camera Models and Image Formation Srikumar Ramalingam School of Computing University of Utah srikumar@cs.utah.edu VisualFunHouse.com 3D Street Art Image courtesy: Julian Beaver (VisualFunHouse.com) 3D
More informationPinhole Camera Model 10/05/17. Computational Photography Derek Hoiem, University of Illinois
Pinhole Camera Model /5/7 Computational Photography Derek Hoiem, University of Illinois Next classes: Single-view Geometry How tall is this woman? How high is the camera? What is the camera rotation? What
More informationLecture Outline Chapter 26. Physics, 4 th Edition James S. Walker. Copyright 2010 Pearson Education, Inc.
Lecture Outline Chapter 26 Physics, 4 th Edition James S. Walker Chapter 26 Geometrical Optics Units of Chapter 26 The Reflection of Light Forming Images with a Plane Mirror Spherical Mirrors Ray Tracing
More informationAdvanced Vision Guided Robotics. David Bruce Engineering Manager FANUC America Corporation
Advanced Vision Guided Robotics David Bruce Engineering Manager FANUC America Corporation Traditional Vision vs. Vision based Robot Guidance Traditional Machine Vision Determine if a product passes or
More informationGeomatica OrthoEngine Orthorectifying VEXCEL UltraCam Data
Geomatica OrthoEngine Orthorectifying VEXCEL UltraCam Data Vexcel s UltraCam digital camera system has a focal distance of approximately 100mm and offers a base panchromatic (black and white) resolution
More informationStereo plotting over orientated photographs
TcpStereo for drones Stereo plotting over orientated photographs Introduction This system allows stereo plotting in CAD platform over aerial photographs with previously defined orientations. It works from
More information3D Sensing. 3D Shape from X. Perspective Geometry. Camera Model. Camera Calibration. General Stereo Triangulation.
3D Sensing 3D Shape from X Perspective Geometry Camera Model Camera Calibration General Stereo Triangulation 3D Reconstruction 3D Shape from X shading silhouette texture stereo light striping motion mainly
More informationON THE USE OF MULTISPECTRAL AND STEREO DATA FROM AIRBORNE SCANNING SYSTEMS FOR DTM GENERATION AND LANDUSE CLASSIFICATION
ON THE USE OF MULTISPECTRAL AND STEREO DATA FROM AIRBORNE SCANNING SYSTEMS FOR DTM GENERATION AND LANDUSE CLASSIFICATION Norbert Haala, Dirk Stallmann and Christian Stätter Institute for Photogrammetry
More informationC quantities. The usual calibration method consists of a direct measurement of. Calibration of Storage Tanks B. SHMUTTER U. ETROG
B. SHMUTTER U. ETROG Geodetic Research Station Technion, Haifa, Israel Calibration of Storage Tanks Adequate accuracy is obtained in the application of terrestrial photographs. (Abstract on next page)
More informationThe Accuracy of Determining the Volumes Using Close Range Photogrammetry
IOSR Journal of Mechanical and Civil Engineering (IOSR-JMCE) e-issn: 2278-1684,p-ISSN: 2320-334X, Volume 12, Issue 2 Ver. VII (Mar - Apr. 2015), PP 10-15 www.iosrjournals.org The Accuracy of Determining
More informationCS4670: 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 informationOptics Course (Phys 311) Geometrical Optics Refraction through Lenses
Optics Course (Phys ) Geometrical Optics Refraction through Lenses Lecturer: Dr Zeina Hashim Slide 1 Objectives covered in this lesson : 1. The refracting power of a thin lens. 2. Thin lens combinations.
More informationBachelor thesis True orthophoto generation
Bachelor thesis True orthophoto generation Rupert Wimmer March 25th, 2010 Abstract Throughout this Bachelor thesis methods for generating true orthophoto imagery from aerial and satellite imagery based
More informationThe Lens. Refraction and The Lens. Figure 1a:
Lenses are used in many different optical devices. They are found in telescopes, binoculars, cameras, camcorders and eyeglasses. Even your eye contains a lens that helps you see objects at different distances.
More informationCentroid Principles. Object s center of gravity or center of mass. Graphically labeled as
Centroids Centroid Principles Object s center of gravity or center of mass. Graphically labeled as Centroid Principles Point of applied force caused by acceleration due to gravity. Object is in state of
More informationCOMBINED BUNDLE BLOCK ADJUSTMENT VERSUS DIRECT SENSOR ORIENTATION ABSTRACT
COMBINED BUNDLE BLOCK ADJUSTMENT VERSUS DIRECT SENSOR ORIENTATION Karsten Jacobsen Institute for Photogrammetry and Engineering Surveys University of Hannover Nienburger Str.1 D-30167 Hannover, Germany
More informationifp Universität Stuttgart Performance of IGI AEROcontrol-IId GPS/Inertial System Final Report
Universität Stuttgart Performance of IGI AEROcontrol-IId GPS/Inertial System Final Report Institute for Photogrammetry (ifp) University of Stuttgart ifp Geschwister-Scholl-Str. 24 D M. Cramer: Final report
More informationCONSISTENT COLOR RESAMPLE IN DIGITAL ORTHOPHOTO PRODUCTION INTRODUCTION
CONSISTENT COLOR RESAMPLE IN DIGITAL ORTHOPHOTO PRODUCTION Yaron Katzil 1, Yerach Doytsher 2 Mapping and Geo-Information Engineering Faculty of Civil and Environmental Engineering Technion - Israel Institute
More informationLecture 3 Sections 2.2, 4.4. Mon, Aug 31, 2009
Model s Lecture 3 Sections 2.2, 4.4 World s Eye s Clip s s s Window s Hampden-Sydney College Mon, Aug 31, 2009 Outline Model s World s Eye s Clip s s s Window s 1 2 3 Model s World s Eye s Clip s s s Window
More information(Refer Slide Time: 00:01:26)
Computer Graphics Prof. Sukhendu Das Dept. of Computer Science and Engineering Indian Institute of Technology, Madras Lecture - 9 Three Dimensional Graphics Welcome back everybody to the lecture on computer
More informationFundamentals of Stereo Vision Michael Bleyer LVA Stereo Vision
Fundamentals of Stereo Vision Michael Bleyer LVA Stereo Vision What Happened Last Time? Human 3D perception (3D cinema) Computational stereo Intuitive explanation of what is meant by disparity Stereo matching
More informationScene Modeling for a Single View
Scene Modeling for a Single View René MAGRITTE Portrait d'edward James with a lot of slides stolen from Steve Seitz and David Brogan, 15-463: Computational Photography Alexei Efros, CMU, Fall 2005 Classes
More information