Biomechanical Simulation and Control of the Face, Neck and Body. Demetri Terzopoulos

Size: px
Start display at page:

Download "Biomechanical Simulation and Control of the Face, Neck and Body. Demetri Terzopoulos"

Transcription

1 Bomechancal Smulaton and Control of the Face, Neck and Body Demetr Terzopoulos Computer Scence Department Unversty of Calforna, Los Angeles Overvew The Face Bomechancal facal modelng Capturng facal models from data Effcent facal tssue smulaton The Neck Bomechancal modelng of the neck-head complex Neuromuscular control The Body Modelng body musculature Bomechancal smulaton of the upper body 1

2 Realstc Facal Modelng Square Pctures USA (2001) Realstc Facal Modelng 2

3 Facal Moton Capture Vrtual Celebrty Productons, LLC Bomechancal Facal Modelng Muscle Model Skn Model Epderms Derms Muscle Layer 3

4 Real-Tme Bomechancal Facal Smulaton Functonal Facal Models Scanned Data Synthetc Faces Range Image Texture Image Cyberware Data Cyberware Scanner Syntheszed Expressons 4

5 Raw Input Dataset ( Hed ) From CyberWare 3D Color Dgtzer Range Image RGB Texture Image Generc Facal Mesh 5

6 Fttng the Generc Mesh Feature-based mage matchng algorthm localzes facal features n: Processed range mage RGB texture mage Samplng Facal Shape Ftted mesh nodes sample range data 6

7 Textured 3D Geometrc Model Texture map coordnates Postons of ftted mesh nodes n RGB texture mage Auxlary Geometrc Models Eyeld Texture Interpolaton 7

8 Complete Geometrc Model Neutral expresson s estmated Facal Anatomy The face: a complex bomechancal structure 8

9 Facal Hstology A complex, multlayer structure Bomechancal Skn Model Deformable tssue element Epderms Derms Muscle Layer Sngle Element 9

10 Bomechancal Skn Model Vscoelastc unaxal prmtve Epderms Derms mass m poston x (t) velocty v (t) acceleraton a (t) Muscle Layer rest length stffness c dampng γ l Sngle Element j Vogt Vscoelastc Model Bomechancal Skn Model Element dynamcs r = x j x Span Epderms Derms e f = ( c e + γ e& ) e = r l r r Deformaton Vscoelastc Force Muscle Layer Stress Bphasc Elastcty c2 Sngle Element c1 Stran 10

11 Emprcal vs Idealzed Stress-Stran Curve Langer s Lnes Non-sotropc stress-stran stran characterstcs 11

12 Bomechancal Skn Model Element dynamcs r = x j x Span Epderms Derms e f = ( c e + γ e& ) e = r l r r Deformaton Vscoelastc Force Muscle Layer Sngle Element Dfferental Equatons of Moton m d x dt f j N e = f m Muscle Forces Bomechancal Skn Model Element dynamcs Epderms Derms m d x dt f j N e = f m + f v + f c Volume Preservaton Constrant Muscle Layer Non-Interpenetraton Constrant 12

13 Bomechancal Skn Model Deformable tssue element and patch Epderms Derms Muscle Layer Muscle Sngle Element Skn Patch Explct Euler Method Effcent near-stablty lmt for moderately deformable bomechancal skn model x& x t + dt t + dt = x& = x 1 e m v c ( f + f + f f j N t a = + m t t + dt a + dt x& t t + dt ) 13

14 Facal Subdvson Surface Subdvson Surface wth Tssue Model 14

15 Facal Subdvson Surface Incson on Facal Mesh 15

16 Retrangulaton Around Incson Facal Musculature 16

17 Muscles & Insertons Facal Muscle Model Structure 35 Muscles Levator Ocul Corrugators Naso-Labal Zygomatcs Obculars Ors plus Artculate Jaw Eyes/Eyelds 17

18 Muscle-Actuated Expressons Muscle-Actuated Expressons 18

19 Muscle-Actuated Expressons Muscle-Actuated Expressons 19

20 Expresson Analyss and Resynthess Capture expresson n vdeo Transfer t to a synthetc facal model Analyss Resynthess NN Estmaton of Muscle Actons Traned neural network muscle control Inner Major Outer Inner Major Outer Left Rght Left Rght Left Frontals Rght Frontals Zygomatcus Levator Lab Jaw Rotaton Image Feature Input Traned Neural Network Transducer Muscle Acton Output 20

21 Expresson Analyss and Resynthess Herarchcal Facal Model Structure From expresson control to mages Expresson Control Actuators Bomechancs Geometry -> Images 21

22 Functonal Model of George The Neck 22

23 Anatomcal Structure of the Neck Skeleton Model 7 cervcal vertebrae and a skull coupled by 3-DOF 3 jonts Lgaments/dsks passve jont sprngs Equatons of moton mass M(q) q& && + b(q,q) & = P(q)f 0 (q,q,a) & gravty, Corols, passve elastc forces c moment arm matrx neural nput actve muscle force 23

24 Bomechancal Neck Model Total of 72 anatomcally-based Hll-type muscle actuators n 3 layers 48 deep muscles (16 longus coll,, 16 erector, 16 rotator) 6 muscles n each jont ncrease controllablty 12 ntermedate muscles (scalerus: : 4 anteror, 4 posteror, 4 capts) 12 superfcal muscles (2 sternomastod,, 2 cledooccptal,, 8 trapezus) Challenge s actuaton and control Bomechancal Neck Modelng 24

25 What Would Leonardo da Vnc Thnk of Ths? Bomechancal Smulaton of the Neck-Head-Face Complex Neuromusculoskeletal model proproceptve feedback (pose, velocty of head) muscle feedback (stran/stran rate) voluntary controller feedfwd sgnal setpont sgnal reflex controller muscle actvaton levels muscles muscle contracton forces skeletal system head pose Traned Neural Networks sst t fft t ut t s tt+ t t envronment gravty, appled force bomechancal face 25

26 Tenson Control Tenson Control 26

27 Neck-Head-Face-Eye Behavor Autonomous Mult-Head Interacton 27

28 Artfcal Lfe Comprehensve computatonal model of humans The ALfe Modelng Pyramd Cognton Learnng Behavor Percepton Bomechancs Physcs George n Bureaucrat Too 28

29 Muscles n the Spne Posteror Muscles n the Deep Layers Modelng all the major muscles partcpatng n spnal posture 29

30 Full Upper-Body Musculature 3D Muscle Geometry 30

31 Sknned Model A prelmnary smulaton demo flexng_sold.av flexng_transparent.av 31

32 Acknowledgements Collaborators: Sung-Hee Lee Eftychos Sfaks Yuencheng Lee Keth Waters Shgeo Morshma UCLA (neck model) UCLA (body tssue smulaton) UofT (face model) Orange Labs, Boston Waseda Unversty, Tokyo Addtonal nfo: deformable.com Thank You! 32

Computer Animation and Visualisation. Lecture 4. Rigging / Skinning

Computer Animation and Visualisation. Lecture 4. Rigging / Skinning Computer Anmaton and Vsualsaton Lecture 4. Rggng / Sknnng Taku Komura Overvew Sknnng / Rggng Background knowledge Lnear Blendng How to decde weghts? Example-based Method Anatomcal models Sknnng Assume

More information

Finite Element Analysis of Rubber Sealing Ring Resilience Behavior Qu Jia 1,a, Chen Geng 1,b and Yang Yuwei 2,c

Finite Element Analysis of Rubber Sealing Ring Resilience Behavior Qu Jia 1,a, Chen Geng 1,b and Yang Yuwei 2,c Advanced Materals Research Onlne: 03-06-3 ISSN: 66-8985, Vol. 705, pp 40-44 do:0.408/www.scentfc.net/amr.705.40 03 Trans Tech Publcatons, Swtzerland Fnte Element Analyss of Rubber Sealng Rng Reslence Behavor

More information

Real-time Facial Expression Animation on An Individualized Face Using Adaptive Simulation Algorithm

Real-time Facial Expression Animation on An Individualized Face Using Adaptive Simulation Algorithm Real-tme Facal Expresson Anmaton on An Indvdualzed Face Usng Adaptve Smulaton Algorthm Yu Zhang y, Edmond C. Prakash yy and Erc Sung y y School of Electrcal and Electronc Engneerng, yy School of Computer

More information

Force Feedback for a Spine Biopsy Simulator with Volume Graphic Model

Force Feedback for a Spine Biopsy Simulator with Volume Graphic Model Proceedngs of the 2001 IEEE/RSJ Internatonal Conference on Intellgent Robots and Systems Mau, Hawa, USA, Oct. 29 - Nov. 03, 2001 Force Feedback for a Spne Bopsy Smulator wth Volume Graphc Model K-Uk Kyung*,

More information

Simulation of Surface Mesh Deformation in Orthodontics by Mass-Spring Model

Simulation of Surface Mesh Deformation in Orthodontics by Mass-Spring Model 292 ECTI TRANSACTIONS ON ELECTRICAL ENG., ELECTRONICS, AND COMMUNICATIONS VOL.9, NO.2 August 2011 Smulaton of Surface Mesh Deformaton n Orthodontcs by Mass-Sprng Model Pathomphong Phannurat 1, Wcht Tharanon

More information

A proposal for the motion analysis method of skiing turn by measurement of orientation and gliding trajectory

A proposal for the motion analysis method of skiing turn by measurement of orientation and gliding trajectory Avalable onlne at www.scencedrect.com Proceda Engneerng 13 (211) 17 22 5 th Asa-Pacfc Congress on Sports Technology (APCST) A proposal for the moton analyss method of skng turn by measurement of orentaton

More information

SLAM Summer School 2006 Practical 2: SLAM using Monocular Vision

SLAM Summer School 2006 Practical 2: SLAM using Monocular Vision SLAM Summer School 2006 Practcal 2: SLAM usng Monocular Vson Javer Cvera, Unversty of Zaragoza Andrew J. Davson, Imperal College London J.M.M Montel, Unversty of Zaragoza. josemar@unzar.es, jcvera@unzar.es,

More information

Real-time Motion Capture System Using One Video Camera Based on Color and Edge Distribution

Real-time Motion Capture System Using One Video Camera Based on Color and Edge Distribution Real-tme Moton Capture System Usng One Vdeo Camera Based on Color and Edge Dstrbuton YOSHIAKI AKAZAWA, YOSHIHIRO OKADA, AND KOICHI NIIJIMA Graduate School of Informaton Scence and Electrcal Engneerng,

More information

Real-time Joint Tracking of a Hand Manipulating an Object from RGB-D Input

Real-time Joint Tracking of a Hand Manipulating an Object from RGB-D Input Real-tme Jont Tracng of a Hand Manpulatng an Object from RGB-D Input Srnath Srdhar 1 Franzsa Mueller 1 Mchael Zollhöfer 1 Dan Casas 1 Antt Oulasvrta 2 Chrstan Theobalt 1 1 Max Planc Insttute for Informatcs

More information

EYE CENTER LOCALIZATION ON A FACIAL IMAGE BASED ON MULTI-BLOCK LOCAL BINARY PATTERNS

EYE CENTER LOCALIZATION ON A FACIAL IMAGE BASED ON MULTI-BLOCK LOCAL BINARY PATTERNS P.G. Demdov Yaroslavl State Unversty Anatoly Ntn, Vladmr Khryashchev, Olga Stepanova, Igor Kostern EYE CENTER LOCALIZATION ON A FACIAL IMAGE BASED ON MULTI-BLOCK LOCAL BINARY PATTERNS Yaroslavl, 2015 Eye

More information

Improvement of Spatial Resolution Using BlockMatching Based Motion Estimation and Frame. Integration

Improvement of Spatial Resolution Using BlockMatching Based Motion Estimation and Frame. Integration Improvement of Spatal Resoluton Usng BlockMatchng Based Moton Estmaton and Frame Integraton Danya Suga and Takayuk Hamamoto Graduate School of Engneerng, Tokyo Unversty of Scence, 6-3-1, Nuku, Katsuska-ku,

More information

Active Perception and Modeling of Deformable Surfaces using Gaussian Processes and Position-based Dynamics

Active Perception and Modeling of Deformable Surfaces using Gaussian Processes and Position-based Dynamics 2016 IEEE-RAS 16th Internatonal Conference on Humanod Robots (Humanods) Cancun, Mexco, Nov 15-17, 2016 Actve Percepton and Modelng of Deformable Surfaces usng Gaussan Processes and Poston-based Dynamcs

More information

Modeling, Manipulating, and Visualizing Continuous Volumetric Data: A Novel Spline-based Approach

Modeling, Manipulating, and Visualizing Continuous Volumetric Data: A Novel Spline-based Approach Modelng, Manpulatng, and Vsualzng Contnuous Volumetrc Data: A Novel Splne-based Approach Jng Hua Center for Vsual Computng, Department of Computer Scence SUNY at Stony Brook Talk Outlne Introducton and

More information

ADJUSTING DEFORMATION METHODS FOR VIRTUAL REALITY SYSTEMS

ADJUSTING DEFORMATION METHODS FOR VIRTUAL REALITY SYSTEMS ADJUSTING DEFORMATION METHODS FOR VIRTUAL REALITY SYSTEMS Suene Ferrera Campos 1, Rone Marcos de Moraes 2, Llane dos Santos Machado 3 Abstract Vrtual Realty Systems for tranng have been proposed and developed

More information

Active Contours/Snakes

Active Contours/Snakes Actve Contours/Snakes Erkut Erdem Acknowledgement: The sldes are adapted from the sldes prepared by K. Grauman of Unversty of Texas at Austn Fttng: Edges vs. boundares Edges useful sgnal to ndcate occludng

More information

Kinematics of pantograph masts

Kinematics of pantograph masts Abstract Spacecraft Mechansms Group, ISRO Satellte Centre, Arport Road, Bangalore 560 07, Emal:bpn@sac.ernet.n Flght Dynamcs Dvson, ISRO Satellte Centre, Arport Road, Bangalore 560 07 Emal:pandyan@sac.ernet.n

More information

THE VIRTUAL HAPTIC HUMAN UPPER BODY

THE VIRTUAL HAPTIC HUMAN UPPER BODY Proceedngs of the ASME 2009 Internatonal Desgn Engneerng Techncal Conferences & Computers and Informaton n Engneerng Conference IDETC/CIE 2009 August 30 - September 2, 2009, San Dego, Calforna, USA DETC2009-87050

More information

Viseme aware realistic 3D face modeling from range images

Viseme aware realistic 3D face modeling from range images IJCSNS Internatonal Journal of Computer Scence and Network Securty, VOL.9 No.4, Aprl 2009 245 Vseme aware realstc 3D face modelng from range mages Ken Yano and Koch Harada, Graduate School of Engneerng

More information

Motion-Capture-Based Avatar Control Framework in Third-Person View Virtual Environments

Motion-Capture-Based Avatar Control Framework in Third-Person View Virtual Environments ACM SIGCHI Internatonal Conference on Advances n Computer Entertanment Technology 26 (ACE 26), Hollywood, U.S.A., June 26. Moton-Capture-Based Avatar Control Framework n Thrd-Person Vew Vrtual Envronments

More information

Newly Developed Functionalities for the Virtual Human Santos

Newly Developed Functionalities for the Virtual Human Santos 7--465 Newly Developed Functonaltes for the Vrtual Human Santos Jngzhou Yang, Xaoln Man, Yuang Xang, Hyun-Joo Km, Amos Patrck, Colby Swan, Karm Abdel-Malek, and Jasbr Arora Center for Computer-Aded, he

More information

Cloth Simulation. Burak Ertekin i MSc Computer Animation and Visual Effects

Cloth Simulation. Burak Ertekin i MSc Computer Animation and Visual Effects Cloth Smulaton Burak Ertekn 7637445 MSc Computer Anmaton and Vsual Effects November 17, 2014 1 Abstract In ths paper, we explan how to make a Cloth Smulaton usng Mass Sprng Model. We explaned the nternal

More information

Real-Time Two-way Coupling of Ship Simulator with Virtual Reality Application

Real-Time Two-way Coupling of Ship Simulator with Virtual Reality Application Real-Tme Two-way Couplng of Shp Smulator wth Vrtual Realty Applcaton Chen Hsen Chen Natonal Tawan Unversty Electrcal Engneerng Department Tape R.O.C. b91901045@ntu.edu.tw L-Chen Fu Natonal Tawan Unversty

More information

The Online Gait Measurement for the Audience-Participant Digital Entertainment

The Online Gait Measurement for the Audience-Participant Digital Entertainment The Onlne Gat Measurement for the Audence-Partcpant Dgtal Entertanment Mayu Okumura 1, Yasush Makhara 1, Shnsuke Nakamura 2, Shgeo Morshma 2, and Yasush Yag 1 1 Osaka Unversty, {okumura, makhara, yag}@am.sanken.osaka-u.ac.jp

More information

Computer Animation Visualization. Lecture 5. Facial animation

Computer Animation Visualization. Lecture 5. Facial animation Computer Animation Visualization Lecture 5 Facial animation Taku Komura Facial Animation The face is deformable Need to decide how all the vertices on the surface shall move Manually create them Muscle-based

More information

3D Face Modeling Using the Multi-Deformable Method

3D Face Modeling Using the Multi-Deformable Method Sensors 2012, 12, 12870-12889; do:10.3390/s121012870 Artcle OPEN ACCESS sensors ISSN 1424-8220 www.mdp.com/journal/sensors 3D Face Modelng Usng the Mult-Deformable Method Jnkyu Hwang, Sunjn Yu, Joongrock

More information

Extraction of 3D Facial Motion Parameters from Mirror-Reflected Multi-View Video for Audio-Visual Synthesis

Extraction of 3D Facial Motion Parameters from Mirror-Reflected Multi-View Video for Audio-Visual Synthesis AVSP 00 Internatonal Conference on Audtory-Vsual Speech Processng Extracton of 3D Facal Moton Parameters from Mrror-Reflected Mult-Vew Vdeo for Audo-Vsual Synthess I-Chen Ln Jeng-Sheng Yeh Mng Ouhyoung

More information

Discriminative Dictionary Learning with Pairwise Constraints

Discriminative Dictionary Learning with Pairwise Constraints Dscrmnatve Dctonary Learnng wth Parwse Constrants Humn Guo Zhuoln Jang LARRY S. DAVIS UNIVERSITY OF MARYLAND Nov. 6 th, Outlne Introducton/motvaton Dctonary Learnng Dscrmnatve Dctonary Learnng wth Parwse

More information

Shape Representation Robust to the Sketching Order Using Distance Map and Direction Histogram

Shape Representation Robust to the Sketching Order Using Distance Map and Direction Histogram Shape Representaton Robust to the Sketchng Order Usng Dstance Map and Drecton Hstogram Department of Computer Scence Yonse Unversty Kwon Yun CONTENTS Revew Topc Proposed Method System Overvew Sketch Normalzaton

More information

Development of Inverse Dynamic Controller for Industrial robots with HyRoHILS system

Development of Inverse Dynamic Controller for Industrial robots with HyRoHILS system June 2-5, KINTEX, Gyeongg-Do, Korea Development of Inverse Dynamc Controller for Industral robots wth HyRoHILS system Je Sung Yeon*, Eu Jn Km**, Sang-Hun Lee**, Jong Hyeon Park*, and Jong-Sung Hur** *

More information

Human Skeleton Reconstruction for Optical Motion Capture

Human Skeleton Reconstruction for Optical Motion Capture Journal of Computatonal Informaton Systems 9: 0 (013) 8073 8080 Avalable at http://www.jofcs.com Human Skeleton Reconstructon for Optcal Moton Capture Guanghua TAN, Melan ZHOU, Chunmng GAO College of Informaton

More information

Line-based Camera Movement Estimation by Using Parallel Lines in Omnidirectional Video

Line-based Camera Movement Estimation by Using Parallel Lines in Omnidirectional Video 01 IEEE Internatonal Conference on Robotcs and Automaton RverCentre, Sant Paul, Mnnesota, USA May 14-18, 01 Lne-based Camera Movement Estmaton by Usng Parallel Lnes n Omndrectonal Vdeo Ryosuke kawansh,

More information

Some Tutorial about the Project. Computer Graphics

Some Tutorial about the Project. Computer Graphics Some Tutoral about the Project Lecture 6 Rastersaton, Antalasng, Texture Mappng, I have already covered all the topcs needed to fnsh the 1 st practcal Today, I wll brefly explan how to start workng on

More information

Articulated Motion Capture from Visual Hulls in High Dimensional Configuration Spaces

Articulated Motion Capture from Visual Hulls in High Dimensional Configuration Spaces Semnar Presentaton June 18th, 010 Artculated Moton Capture from Vsual Hulls n Hgh Dmensonal Confguraton Spaces Azawa Yamasak Lab D, 48-09741, 羅衛蘭 ABSTRACT In ths paper, we propose a novel approach for

More information

Lecture #15 Lecture Notes

Lecture #15 Lecture Notes Lecture #15 Lecture Notes The ocean water column s very much a 3-D spatal entt and we need to represent that structure n an economcal way to deal wth t n calculatons. We wll dscuss one way to do so, emprcal

More information

METRIC ALIGNMENT OF LASER RANGE SCANS AND CALIBRATED IMAGES USING LINEAR STRUCTURES

METRIC ALIGNMENT OF LASER RANGE SCANS AND CALIBRATED IMAGES USING LINEAR STRUCTURES METRIC ALIGNMENT OF LASER RANGE SCANS AND CALIBRATED IMAGES USING LINEAR STRUCTURES Lorenzo Sorg CIRA the Italan Aerospace Research Centre Computer Vson and Vrtual Realty Lab. Outlne Work goal Work motvaton

More information

Boundary Condition Simulation for Structural Local Refined Modeling Using Genetic Algorithm

Boundary Condition Simulation for Structural Local Refined Modeling Using Genetic Algorithm 2016 Internatonal Conference on Artfcal Intellgence: Technques and Applcatons (AITA 2016) ISBN: 978-1-60595-389-2 Boundary Condton Smulaton for Structural Local Refned Modelng Usng Genetc Algorthm Zhong

More information

STRUCTURAL ANALYSIS FOR PERFORMANCE-BASED EARTHQUAKE ENGINEERING. Structural Analysis for Performance-Based Earthquake Engineering

STRUCTURAL ANALYSIS FOR PERFORMANCE-BASED EARTHQUAKE ENGINEERING. Structural Analysis for Performance-Based Earthquake Engineering STRUCTURAL ANALYSIS OR PERORMANCE-BASED EARTHQUAKE ENGINEERING Structural Analyss for Performance-Based Earthquake Engneerng Basc modelng concepts Nonlnear statc pushover analyss Nonlnear dynamc response

More information

Multiple Frame Motion Inference Using Belief Propagation

Multiple Frame Motion Inference Using Belief Propagation Multple Frame Moton Inference Usng Belef Propagaton Jang Gao Janbo Sh The Robotcs Insttute Department of Computer and Informaton Scence Carnege Mellon Unversty Unversty of Pennsylvana Pttsburgh, PA 53

More information

Fitting: Deformable contours April 26 th, 2018

Fitting: Deformable contours April 26 th, 2018 4/6/08 Fttng: Deformable contours Aprl 6 th, 08 Yong Jae Lee UC Davs Recap so far: Groupng and Fttng Goal: move from array of pxel values (or flter outputs) to a collecton of regons, objects, and shapes.

More information

Learning Ensemble of Local PDM-based Regressions. Yen Le Computational Biomedicine Lab Advisor: Prof. Ioannis A. Kakadiaris

Learning Ensemble of Local PDM-based Regressions. Yen Le Computational Biomedicine Lab Advisor: Prof. Ioannis A. Kakadiaris Learnng Ensemble of Local PDM-based Regressons Yen Le Computatonal Bomedcne Lab Advsor: Prof. Ioanns A. Kakadars 1 Problem statement Fttng a statstcal shape model (PDM) for mage segmentaton Callosum segmentaton

More information

Parallel manipulator robots design and simulation

Parallel manipulator robots design and simulation Proceedngs of the 5th WSEAS Int. Conf. on System Scence and Smulaton n Engneerng, Tenerfe, Canary Islands, Span, December 16-18, 26 358 Parallel manpulator robots desgn and smulaton SAMIR LAHOUAR SAID

More information

Dynamic wetting property investigation of AFM tips in micro/nanoscale

Dynamic wetting property investigation of AFM tips in micro/nanoscale Dynamc wettng property nvestgaton of AFM tps n mcro/nanoscale The wettng propertes of AFM probe tps are of concern n AFM tp related force measurement, fabrcaton, and manpulaton technques, such as dp-pen

More information

Real-time. Shading of Folded Surfaces

Real-time. Shading of Folded Surfaces Rhensche Fredrch-Wlhelms-Unverstät Bonn Insttute of Computer Scence II Computer Graphcs Real-tme Shadng of Folded Surfaces B. Ganster, R. Klen, M. Sattler, R. Sarlette Motvaton http://www www.vrtualtryon.de

More information

The Computer Aided Analysis of the Bus Accidents Oriented to the Numerical Simulation of the Injury of the Human Body

The Computer Aided Analysis of the Bus Accidents Oriented to the Numerical Simulation of the Injury of the Human Body The Computer Aded Analyss of the Bus Accdents Orented to the Numercal Smulaton of the Injury of the Human Body XIAO-YUN ZHANG,XIAN-LONG JIN,JIE SHEN School of Mechancal Engneerng Shangha Jao Tong Unversty

More information

The Research of Ellipse Parameter Fitting Algorithm of Ultrasonic Imaging Logging in the Casing Hole

The Research of Ellipse Parameter Fitting Algorithm of Ultrasonic Imaging Logging in the Casing Hole Appled Mathematcs, 04, 5, 37-3 Publshed Onlne May 04 n ScRes. http://www.scrp.org/journal/am http://dx.do.org/0.436/am.04.584 The Research of Ellpse Parameter Fttng Algorthm of Ultrasonc Imagng Loggng

More information

Discussion. History and Outline. Smoothness of Indirect Lighting. Irradiance Caching. Irradiance Calculation. Advanced Computer Graphics (Fall 2009)

Discussion. History and Outline. Smoothness of Indirect Lighting. Irradiance Caching. Irradiance Calculation. Advanced Computer Graphics (Fall 2009) Advanced Computer Graphcs (Fall 2009 CS 29, Renderng Lecture 6: Recent Advances n Monte Carlo Offlne Renderng Rav Ramamoorth http://nst.eecs.berkeley.edu/~cs29-13/fa09 Dscusson Problems dfferent over years.

More information

A unified library of nonlinear solution schemes

A unified library of nonlinear solution schemes A unfed lbrary of nonlnear soluton schemes Sofe E. Leon, Glauco H. Paulno, Anderson Perera, Ivan F. M. Menezes, Eduardo N. Lages 7/27/2011 Motvaton Nonlnear problems are prevalent n structural, flud, contnuum,

More information

Model-Based Bundle Adjustment to Face Modeling

Model-Based Bundle Adjustment to Face Modeling Model-Based Bundle Adjustment to Face Modelng Oscar K. Au Ivor W. sang Shrley Y. Wong oscarau@cs.ust.hk vor@cs.ust.hk shrleyw@cs.ust.hk he Hong Kong Unversty of Scence and echnology Realstc facal synthess

More information

New Capabilities for the Virtual-Human Santos TM

New Capabilities for the Virtual-Human Santos TM SAE TECHNICAL PAPER SERIES 2006-01-0697 New Capabltes for the Vrtual-Human Santos TM J. Yang, T. Marler, S. Beck, J. Km, Q. Wang, X. Zhou, E. Pena Ptarch, K. Farrell, A. Patrck, J. Potratz, K. Abdel-Malek

More information

Multi-View Face Alignment Using 3D Shape Model for View Estimation

Multi-View Face Alignment Using 3D Shape Model for View Estimation Mult-Vew Face Algnment Usng 3D Shape Model for Vew Estmaton Yanchao Su 1, Hazhou A 1, Shhong Lao 1 Computer Scence and Technology Department, Tsnghua Unversty Core Technology Center, Omron Corporaton ahz@mal.tsnghua.edu.cn

More information

Efficient mechatronic evaluation of machine tool designs using model reduction

Efficient mechatronic evaluation of machine tool designs using model reduction Mechatroncs 2010, June 28 30, Swss Federal Insttute of Technology ETH, Zurch Swtzerland 1 Effcent mechatronc evaluaton of machne tool desgns usng model reducton P. Magle *, R. Carbn, S. Wekert, K. Wegener

More information

Individual 3D Model Estimation for Realtime Human Motion Capture

Individual 3D Model Estimation for Realtime Human Motion Capture Indvdual 3D Model Estmaton for Realtme Human Moton Capture Lanjun Lao, Le Su and Shhong Xa Insttute of Computng Technology, CAS, Bejng, 100190 Emal: LaoLanjun@ct.ac.cn Cvl Avaton Unversty of Chna, Tanjn,

More information

Body gesture validation using multi-dimensional dynamic time warping on Kinect data

Body gesture validation using multi-dimensional dynamic time warping on Kinect data Body gesture valdaton usng mult-dmensonal dynamc tme warpng on Knect data Lorenzo Patras, Ion Gosan, Sergu Nedevsch Computer Scence Department Techncal Unversty of Cluj-Napoca, Romana Lorenzo.Patras@gmal.com,

More information

Acknowledgements. Registration-based approaches in cardiac MR imaging. Image Registration. Overview. VIP Group, Department of Computing, IC

Acknowledgements. Registration-based approaches in cardiac MR imaging. Image Registration. Overview. VIP Group, Department of Computing, IC Regstraton-based approaches n cardac MR magng D. Rueckert, Ph.D. d.rueckert@mperal.ac.uk http://www.doc.c.ac.uk/~dr Vsual Informaton Processng, Dept. of Computng, Imperal College, London, UK Acknowledgements

More information

7/12/2016. GROUP ANALYSIS Martin M. Monti UCLA Psychology AGGREGATING MULTIPLE SUBJECTS VARIANCE AT THE GROUP LEVEL

7/12/2016. GROUP ANALYSIS Martin M. Monti UCLA Psychology AGGREGATING MULTIPLE SUBJECTS VARIANCE AT THE GROUP LEVEL GROUP ANALYSIS Martn M. Mont UCLA Psychology NITP AGGREGATING MULTIPLE SUBJECTS When we conduct mult-subject analyss we are tryng to understand whether an effect s sgnfcant across a group of people. Whether

More information

Calibration of an Articulated Camera System

Calibration of an Articulated Camera System Calbraton of an Artculated Camera System CHEN Junzhou and Kn Hong WONG Department of Computer Scence and Engneerng The Chnese Unversty of Hong Kong {jzchen, khwong}@cse.cuhk.edu.hk Abstract Multple Camera

More information

Key words. human lumbar spine, functional spinal unit, Bézier curve, Berstein polynomial, De-Casteljau algorithm

Key words. human lumbar spine, functional spinal unit, Bézier curve, Berstein polynomial, De-Casteljau algorithm Proceedngs of ALGORITMY 216 pp. 55 61 PRECISING OF THE VERTEBRAL BODY GEOMETRY BY USING BÉZIER CURVES MÁRIA TJEŠŠOVÁ AND MÁRIA MINÁROVÁ Abstract. The bomechancal nvestgaton of the human spne requres frst

More information

Complex Deformable Objects in Virtual Reality

Complex Deformable Objects in Virtual Reality Complex Deformable Obects n Vrtual Realty Young-Mn Kang Department of Computer Scence Pusan Natonal Unversty ymkang@pearl.cs.pusan.ac.kr Hwan-Gue Cho Department of Computer Scence Pusan Natonal Unversty

More information

Calibration of an Articulated Camera System

Calibration of an Articulated Camera System Calbraton of an Artculated Camera System CHEN Junzhou and Kn Hong WONG Department of Computer Scence and Engneerng The Chnese Unversty of Hong Kong {jzchen, khwong}@cse.cuhk.edu.hk Abstract Multple Camera

More information

Problem Definitions and Evaluation Criteria for Computational Expensive Optimization

Problem Definitions and Evaluation Criteria for Computational Expensive Optimization Problem efntons and Evaluaton Crtera for Computatonal Expensve Optmzaton B. Lu 1, Q. Chen and Q. Zhang 3, J. J. Lang 4, P. N. Suganthan, B. Y. Qu 6 1 epartment of Computng, Glyndwr Unversty, UK Faclty

More information

Modeling of the Absorption of the Electromagnetic Wave Energy in the Human Head Induced by Cell Phone

Modeling of the Absorption of the Electromagnetic Wave Energy in the Human Head Induced by Cell Phone Journal of Appled Mathematcs and Physcs, 14,, 179-184 Publshed Onlne November 14 n ScRes. http://www.scrp.org/ournal/amp http://dx.do.org/1.436/amp.14.114 Modelng of the Absorpton of the Electromagnetc

More information

arxiv: v1 [cs.gr] 15 May 2018

arxiv: v1 [cs.gr] 15 May 2018 1-5 Our Method 1-1 Target.35 Relatve Energy 1 12 36 Intal Optmzed Our Method 1 Target 1-5.1 1-5 6 1-1 1 1-1 Relatve Energy Relatve Energy YUE PENG, Unversty of Scence and Technology of Chna BAILIN DENG,

More information

Deep learning is a good steganalysis tool when embedding key is reused for different images, even if there is a cover source-mismatch

Deep learning is a good steganalysis tool when embedding key is reused for different images, even if there is a cover source-mismatch Deep learnng s a good steganalyss tool when embeddng key s reused for dfferent mages, even f there s a cover source-msmatch Lonel PIBRE 2,3, Jérôme PASQUET 2,3, Dno IENCO 2,3, Marc CHAUMONT 1,2,3 (1) Unversty

More information

Discussion. History and Outline. Smoothness of Indirect Lighting. Irradiance Calculation. Irradiance Caching. Advanced Computer Graphics (Fall 2009)

Discussion. History and Outline. Smoothness of Indirect Lighting. Irradiance Calculation. Irradiance Caching. Advanced Computer Graphics (Fall 2009) Advanced Computer Graphcs (Fall 2009 CS 283, Lecture 13: Recent Advances n Monte Carlo Offlne Renderng Rav Ramamoorth http://nst.eecs.berkeley.edu/~cs283/fa10 Dscusson Problems dfferent over years. Intally,

More information

Positive Semi-definite Programming Localization in Wireless Sensor Networks

Positive Semi-definite Programming Localization in Wireless Sensor Networks Postve Sem-defnte Programmng Localzaton n Wreless Sensor etworks Shengdong Xe 1,, Jn Wang, Aqun Hu 1, Yunl Gu, Jang Xu, 1 School of Informaton Scence and Engneerng, Southeast Unversty, 10096, anjng Computer

More information

Head-Raising of Snake Robots Based on a Predefined Spiral Curve Method

Head-Raising of Snake Robots Based on a Predefined Spiral Curve Method Artcle Head-Rasng of Snake Robots Based on a Predefned Spral Curve Method Xaobo Zhang 1,2,3, Jnguo Lu 1,2, *, Zhaoje Ju 1,2,4 and Chenguang Yang 5 1 State Key Laboratory of Robotcs, Shenyang Insttute of

More information

Stiffness modeling for perfect and non-perfect parallel manipulators under internal and external loadings

Stiffness modeling for perfect and non-perfect parallel manipulators under internal and external loadings Stffness modelng for perfect and non-perfect parallel manpulators under nternal and external loadngs Alexandr Klmchk, Damen hablat, Anatol Pashkevch o cte ths verson: Alexandr Klmchk, Damen hablat, Anatol

More information

Intelligent Dynamic Simulation of Mechanisms

Intelligent Dynamic Simulation of Mechanisms Intellgent Dynamc Smulaton of Mechansms Glenn A. Kramer Schlumberger Laboratory for Computer Scence 8311 North RR 620 Austn, Texas 78726 net: gak~slcs.slb.com Abstract Dynamc smulaton nvolves solvng sets

More information

Free-Form Tactile Sensor Using 3-Dimensional Shape Capture Sheet

Free-Form Tactile Sensor Using 3-Dimensional Shape Capture Sheet Free-Form Tactle Sensor Usng 3-Dmensonal Shape Capture Sheet Takayuk Hosh and Hroyuk Shnoda The Unversty of Tokyo {star, shno}@alab.t.u-tokyo.ac.p Abstract We are developng a novel sensng devce named 3-dmensonal

More information

Distance Calculation from Single Optical Image

Distance Calculation from Single Optical Image 17 Internatonal Conference on Mathematcs, Modellng and Smulaton Technologes and Applcatons (MMSTA 17) ISBN: 978-1-6595-53-8 Dstance Calculaton from Sngle Optcal Image Xao-yng DUAN 1,, Yang-je WEI 1,,*

More information

Efficient Pose Deformations for Human Models in Customized Sizes and Shapes

Efficient Pose Deformations for Human Models in Customized Sizes and Shapes Effcent Pose Deformatons for Human Models n Customzed Szes and Shapes 5 10 15 0 Shuayn Zhu and P.Y. Mo* Insttute of extles and Clothng, he Hong Kong Polytechnc Unversty Hunghom, Hong Kong. sy.zhu@connet.polyu.h;

More information

A Unified Approach for Subspace Simulation of Deformable Bodies in Multiple Domains

A Unified Approach for Subspace Simulation of Deformable Bodies in Multiple Domains A Unfed Approach for Subspace Smulaton of Deformable Bodes n Multple Domans Xaofeng Wu Rajadtya Mukherjee Huamn Wang he Oho State Unversty (a) Constraned deformaton (b) Deformaton after cut (c) Unconstraned

More information

Model-Based and Image-Based Methods for Facial Image Synthesis, Analysis and Recognition

Model-Based and Image-Based Methods for Facial Image Synthesis, Analysis and Recognition Model-Based and Image-Based Methods for Facial Image Synthesis, Analysis and Recognition Demetri Terzopoulos 1,2, Yuencheng Lee 2,1 and M. Alex O. Vasilescu 2,1 1 Courant Institute of Mathematical Sciences,

More information

HEURISTIC METHOD OF DYNAMIC STRESS ANALYSIS IN MULTIBODY SIMULATION USING HPC

HEURISTIC METHOD OF DYNAMIC STRESS ANALYSIS IN MULTIBODY SIMULATION USING HPC 11th World Congress on Computatonal Mechancs (WCCM XI) 5th European Conference on Computatonal Mechancs (ECCM V) 6th European Conference on Computatonal Flud Dynamcs (ECFD VI) E. Oñate, J. Olver and A.

More information

Development of a FPGA-based Motion Control IC for Robot Arm

Development of a FPGA-based Motion Control IC for Robot Arm Development of a FPGA-based oton Control IC for Robot Arm Yng-Sheh ung, ember IEEE Southern Tawan Unversty of Technology No. Nan-Ta Street, Yung-ang Tanan County, 7, TAIWAN kung@mal.stut.edu.tw Gua-Sheh

More information

A Particle Filter without Dynamics for Robust 3D Face Tracking

A Particle Filter without Dynamics for Robust 3D Face Tracking A Partcle Flter wthout Dynamcs for Robust 3D Face Trackng Le Lu ang-tan Da Gregory Hager Computatonal Interacton and Robotcs Lab, Computer Scence Department the Johns Hopkns Unversty, Baltmore, MD 21218,

More information

Coalitional tracking

Coalitional tracking Computer Vson and Image Understandng 106 (2007) 205 219 www.elsever.com/locate/cvu Coaltonal trackng Jonathan Dowdall a, Ioanns T. Pavlds a, *, Panagots Tsamyrtzs b a Department of Computer Scence, Unversty

More information

ON THE DESIGN OF LARGE SCALE REDUNDANT PARALLEL MANIPULATOR. Wu huapeng, Heikki handroos and Juha kilkki

ON THE DESIGN OF LARGE SCALE REDUNDANT PARALLEL MANIPULATOR. Wu huapeng, Heikki handroos and Juha kilkki ON THE DESIGN OF LARGE SCALE REDUNDANT PARALLEL MANIPULATOR Wu huapeng, Hekk handroos and Juha klkk Machne Automaton Lab, Lappeenranta Unversty of Technology LPR-5385 Fnland huapeng@lut.f, handroos@lut.f,

More information

Structure from Motion

Structure from Motion Structure from Moton Structure from Moton For now, statc scene and movng camera Equvalentl, rgdl movng scene and statc camera Lmtng case of stereo wth man cameras Lmtng case of multvew camera calbraton

More information

Machine Learning 9. week

Machine Learning 9. week Machne Learnng 9. week Mappng Concept Radal Bass Functons (RBF) RBF Networks 1 Mappng It s probably the best scenaro for the classfcaton of two dataset s to separate them lnearly. As you see n the below

More information

A Study of Movement Attitude Capture System Based on Kinect

A Study of Movement Attitude Capture System Based on Kinect A Study of Movement Atttude Capture System Based on Knect Abstract Hongka Zhou Pngdngshan Unversty, Pngdngshan467000, Chna In ths paper, we propose a human-robot vsual percepton algorthm for humanod robot

More information

XV International PhD Workshop OWD 2013, October Machine Learning for the Efficient Control of a Multi-Wheeled Mobile Robot

XV International PhD Workshop OWD 2013, October Machine Learning for the Efficient Control of a Multi-Wheeled Mobile Robot XV Internatonal PhD Workshop OWD 203, 9 22 October 203 Machne Learnng for the Effcent Control of a Mult-Wheeled Moble Robot Uladzmr Dzomn, Brest State Techncal Unversty (prof. Vladmr Golovko, Brest State

More information

5th International Workshop on Biological Effects of Electromagnetic Fields. September 28th - October 2nd 2008, Città del Mare, Terrasini, Palermo

5th International Workshop on Biological Effects of Electromagnetic Fields. September 28th - October 2nd 2008, Città del Mare, Terrasini, Palermo 5th Internatonal Workshop on Bologcal Effects of Electromagnetc Felds September 28th - October 2nd 2008, Cttà del Mare, Terrasn, Palermo COMPLIANCE WITH EU BASIC RESTRICTIONS NEAR INDUCTION FURNACES USED

More information

3D Biplanar Reconstruction of Scoliotic Vertebrae Using Statistical Models

3D Biplanar Reconstruction of Scoliotic Vertebrae Using Statistical Models 3D Bplanar Reconstructon of Scolotc Vertebrae Usng Statstcal Models S. Benameur (,, ), M. Mgnotte (, ), S. Parent (, ), H. Labelle ( ), W. Skall ( ), and J. A. De Guse (,, ) ( )Laboratore de recherche

More information

Octree Subdivision Using Coplanar Criterion for Hierarchical Point Simplification

Octree Subdivision Using Coplanar Criterion for Hierarchical Point Simplification Octree Subdvson Usng Coplanar Crteron for Herarchcal Pont Smplfcaton Pa-Feng Lee 1, Chen-Hsng Chang 1, Jun-Lng Tseng 2, Bn-Shyan Jong 3, and Tsong-Wuu Ln 4 1 Dept. of Electronc Engneerng, Chung Yuan Chrstan

More information

Smoothing Spline ANOVA for variable screening

Smoothing Spline ANOVA for variable screening Smoothng Splne ANOVA for varable screenng a useful tool for metamodels tranng and mult-objectve optmzaton L. Rcco, E. Rgon, A. Turco Outlne RSM Introducton Possble couplng Test case MOO MOO wth Game Theory

More information

TRANSITIONAL OBJECT S SHAPE SIMULATION BY LAGRANGE S EQUATION AND FINITE ELEMENT METHOD

TRANSITIONAL OBJECT S SHAPE SIMULATION BY LAGRANGE S EQUATION AND FINITE ELEMENT METHOD RANSIIONAL OBJEC S SHAPE SIMULAION BY LAGRANGE S EQUAION AND FINIE ELEMEN MEHOD Raquel R. Pnho João M. R. S. avares LOME Laboratóro de Óptca e Mecânca Expermental FEUP Faculdade de Engenhara da Unversdade

More information

Takahiro ISHIKAWA Takahiro Ishikawa Takahiro Ishikawa Takeo KANADE

Takahiro ISHIKAWA Takahiro Ishikawa Takahiro Ishikawa Takeo KANADE Takahro ISHIKAWA Takahro Ishkawa Takahro Ishkawa Takeo KANADE Monocular gaze estmaton s usually performed by locatng the pupls, and the nner and outer eye corners n the mage of the drver s head. Of these

More information

Analysis on the Workspace of Six-degrees-of-freedom Industrial Robot Based on AutoCAD

Analysis on the Workspace of Six-degrees-of-freedom Industrial Robot Based on AutoCAD Analyss on the Workspace of Sx-degrees-of-freedom Industral Robot Based on AutoCAD Jn-quan L 1, Ru Zhang 1,a, Fang Cu 1, Q Guan 1 and Yang Zhang 1 1 School of Automaton, Bejng Unversty of Posts and Telecommuncatons,

More information

Sampling and Reconstruction with Adaptive Meshes

Sampling and Reconstruction with Adaptive Meshes Publshed n the Proceedngs of the IEEE Computer Vson and Pattern Recognton Conference (CVPR 91), Lahana, HI, June, 1991, 70 75. Samplng and Reconstructon wth Adaptve Meshes Demetr Terzopoulos 1;3;4 and

More information

Cluster Analysis of Electrical Behavior

Cluster Analysis of Electrical Behavior Journal of Computer and Communcatons, 205, 3, 88-93 Publshed Onlne May 205 n ScRes. http://www.scrp.org/ournal/cc http://dx.do.org/0.4236/cc.205.350 Cluster Analyss of Electrcal Behavor Ln Lu Ln Lu, School

More information

Design of Simulation Model on the Battlefield Environment ZHANG Jianli 1,a, ZHANG Lin 2,b *, JI Lijian 1,c, GUO Zhongwei 1,d

Design of Simulation Model on the Battlefield Environment ZHANG Jianli 1,a, ZHANG Lin 2,b *, JI Lijian 1,c, GUO Zhongwei 1,d Internatonal Conference on Materals Engneerng and Informaton Technology Applcatons (MEITA 2015 Desgn of Smulaton Model on the Battlefeld Envronment ZHANG Janl 1,a, ZHANG Ln 2,b *, JI Ljan 1,c, GUO Zhongwe

More information

An efficient method to build panoramic image mosaics

An efficient method to build panoramic image mosaics An effcent method to buld panoramc mage mosacs Pattern Recognton Letters vol. 4 003 Dae-Hyun Km Yong-In Yoon Jong-Soo Cho School of Electrcal Engneerng and Computer Scence Kyungpook Natonal Unv. Abstract

More information

Calibration of an Articulated Camera System with Scale Factor Estimation

Calibration of an Articulated Camera System with Scale Factor Estimation Calbraton of an Artculated Camera System wth Scale Factor Estmaton CHEN Junzhou, Kn Hong WONG arxv:.47v [cs.cv] 7 Oct Abstract Multple Camera Systems (MCS) have been wdely used n many vson applcatons and

More information

09DHM-0027 ABSTRACT. in this category are important because the human motions are not artificially constrained and are dynamically feasible.

09DHM-0027 ABSTRACT. in this category are important because the human motions are not artificially constrained and are dynamically feasible. 09DHM-0027 Valdaton of Lower-Body Posture Predcton for the Vrtual Human Model Santos TM Salam Rahmatalla, PhD; Yujang Xang; Rosalnd Smth; John Meusch; Jnzheng L; Tm Marler, PhD; Bran Smth Center for Computer

More information

Facial Model Improvement Using 3D Texture Mapping Feedback

Facial Model Improvement Using 3D Texture Mapping Feedback Facal Model Improvement Usng 3D Texture Mappng Feedback Yongje Lu, Anup Basu and Jong-Seong Km* Department of Computng Scence, Unversty of Alberta, *Andong Unversty, South Korea {yongje, anup}@cs.ualberta.ca,

More information

Multi-objective Optimization for Upper Body Posture Prediction

Multi-objective Optimization for Upper Body Posture Prediction Mult-objectve Optmzaton for Upper Body Posture Predcton Jngzhou ang *, R. Tmothy Marler, HyungJoo Km, Jasbr S. Arora, and Karm Abdel-Malek ** Vrtual Solder Research Program, Center for Computer-Aded Desgn,

More information

ISSN: [Tang* et al., 7(9): September, 2018] Impact Factor: 5.164

ISSN: [Tang* et al., 7(9): September, 2018] Impact Factor: 5.164 IJESRT INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY METHOD FOR SIMPLIFYING MAGNETIC HAND MOTION CAPTURE: POSITION AND POSTURE ESTIMATION METHOD FOR FINGER SEGMENTS OF INDEX WITH

More information

3D Rigid Facial Motion Estimation from Disparity Maps

3D Rigid Facial Motion Estimation from Disparity Maps 3D Rgd Facal Moton Estmaton from Dsparty Maps N. Pérez de la Blanca 1, J.M. Fuertes 2, and M. Lucena 2 1 Department of Computer Scence and Artfcal Intellgence ETSII. Unversty of Granada, 1871 Granada,

More information

Angle-Independent 3D Reconstruction. Ji Zhang Mireille Boutin Daniel Aliaga

Angle-Independent 3D Reconstruction. Ji Zhang Mireille Boutin Daniel Aliaga Angle-Independent 3D Reconstructon J Zhang Mrelle Boutn Danel Alaga Goal: Structure from Moton To reconstruct the 3D geometry of a scene from a set of pctures (e.g. a move of the scene pont reconstructon

More information