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Rui Tang, Darren Cosker and Wenbin Li Global Alignment for Dynamic 3D Morphable Model Construction University of Bath
Motivation 3D Face Models 3D Morphable Model  Dynamic 3D FACS Dataset  Corresponded Model for Facial Analysis Speech analysis in 3D Facial expression recognition
Rigid Alignment and UV Projection CPD (Coherent Point Drift)  vs ICP UV Projection use Maya
Local Non-Rigid Alignment
Global Non-Rigid Alignment Evaluation: Optical Flow VS TPS+OF
Comparison between OF and TPS+OF
Statistical Model PCA Model Low-Dim Representation
Towards Human-Realistic Animation by Observing Real Human Dynamics Darren Cosker Towards Human-Realistic Animation by Observing Real Human Dynamics Darren.
3D Face Modeling Michaël De Smet. Topics to Discuss 3D Morphable Models 3D face reconstruction Face recognition Lip synchronization.
1 Registration of 3D Faces Leow Wee Kheng CS6101 AY Semester 1.
Image Registration with Hierarchical B-Splines Z. Xie and G. Farin.
SIGGRAPH Course 30: Performance-Driven Facial Animation For Latest Version of Bregler’s Slides and Notes please go to:
Obama and Biden, McCain and Palin Face Recognition Using Eigenfaces Justin Li.
Adaptive Rigid Multi-region Selection for 3D face recognition K. Chang, K. Bowyer, P. Flynn Paper presentation Kin-chung (Ryan) Wong 2006/7/27.
Exchanging Faces in Images SIGGRAPH ’04 Blanz V., Scherbaum K., Vetter T., Seidel HP. Speaker: Alvin Date: 21 July 2004.
Perceptually Guided Expressive Facial Animation Zhigang Deng and Xiaohan Ma Computer Graphics and Interactive Media Lab Department of Computer Science.
FACIAL EMOTION RECOGNITION BY ADAPTIVE PROCESSING OF TREE STRUCTURES Jia-Jun Wong and Siu-Yeung Cho Forensic and Security Lab School of Computer Engineering.
Towards Human-Realistic Animation by Studying Human Dynamics Darren Cosker Towards Human-Realistic Animation by Studying Human Dynamics Darren Cosker Department.
10-1 人生与责任 淮安工业园区实验学校 连芳芳 “ 自我介绍 ” “ 自我介绍 ” 儿童时期的我.
3D Face Recognition Using Range Images Final Presentation Joonsoo Lee 5/03/05.
SIGGRAPH Course 30: Performance-Driven Facial Animation Section: Marker-less Face Capture and Automatic Model Construction Part 1: Chris Bregler, NYU Part.
Subspace Representation for Face Recognition Presenters: Jian Li and Shaohua Zhou.
Structured Face Hallucination Chih-Yuan Yang Sifei Liu Ming-Hsuan Yang Electrical Engineering and Computer Science 1.
Learning the Appearance of Faces: A Unifying Approach for the Analysis and Synthesis of Images. Thomas Vetter Germany University of Freiburg
RECOGNIZING FACIAL EXPRESSIONS THROUGH TRACKING Salih Burak Gokturk.
1 Style-Content Separation by Anisotropic Part Scales Kai Xu, Honghua Li, Hao Zhang, Daniel Cohen-Or Yueshan Xiong, Zhi-Quan Cheng Simon Fraser Universtiy.
Optical flow (motion vector) computation Course: Computer Graphics and Image Processing Semester:Fall 2002 Presenter:Nilesh Ghubade
Face Recognition Committee Machine: Methodology, Experiments and A System Application Oral Defense by Sunny Tang 15 Aug 2003.
3D Face Recognition Using Range Images Literature Survey Joonsoo Lee 3/10/05.
Artificial Intelligence & Information Analysis Group (AIIA) Centre of Research and Technology Hellas INFORMATICS & TELEMATICS INSTITUTE.
Large-scale, real-world facial recognition in movie trailers Alan Wright Presentation 8.
Face Alignment with Part-Based Modeling Vahid Kazemi Josephine Sullivan CVAP KTH Institute of Technology.
4EyesFace-Realtime face detection, tracking, alignment and recognition Changbo Hu, Rogerio Feris and Matthew Turk.
Intelligent Control and Automation, WCICA 2008.
Prediction of Non-Linear Aging Trajectories of Faces K. Scherbaum, M. Sunkel, V. Blanz and H.-P. Seidel [ 2007/5/9, Eurographics 2007, Prague ]
REU Project RGBD gesture recognition with the Microsoft Kinect Steven Hickson.
Recent Developments in Human Motion Analysis Liang Wang, Weiming Hu, Tieniu Tan Chinese Academy of Sciences, Beijing, People’s Republic of China 2002 Pattern.
Graphite 2004 Statistical Synthesis of Facial Expressions for the Portrayal of Emotion Lisa Gralewski Bristol University United Kingdom
Irfan Essa, Alex Pentland Facial Expression Recognition using a Dynamic Model and Motion Energy (a review by Paul Fitzpatrick for 6.892)
Comparing Kernel-based Learning Methods for Face Recognition Zhiguo Li
Image-based stress recognition from a model-based tracking system Sundara Venkataraman
ICA Alphan Altinok. Outline PCA ICA Foundation Ambiguities Algorithms Examples Papers.
A PCA-based feature extraction method for face recognition — Adaptively weighted sub-pattern PCA (Aw-SpPCA) Group members: Keren Tan Weiming Chen Rong.
Non-linear Dimensionality Reduction by Locally Linear Inlaying Presented by Peng Zhang Tianjin University, China Yuexian Hou, Peng Zhang, Xiaowei Zhang,
A Multiresolution Symbolic Representation of Time Series Vasileios Megalooikonomou Qiang Wang Guo Li Christos Faloutsos Presented by Rui Li.
A Fast and Accurate Tracking Algorithm of the Left Ventricle in 3D Echocardiography A Fast and Accurate Tracking Algorithm of the Left Ventricle in 3D.
Reihaneh Rostami, Zeyun Yu Computer Science Department University of Wisconsin – Milwaukee Objective -3D Point Matching is the process of finding a point.
Facial Recognition By Lisa Tomko. Overview What is facial recognition? History The Face Recognition Technology Evaluation The Face Recognition Vender.
Mixture of trees model: Face Detection, Pose Estimation and Landmark Localization Presenter: Zhang Li.
Face Recognition Based on 3D Shape Estimation Prithviraj Sen For cmsc 828J Instructor: Dr.D.Jacobs.
Face Recognition eScience Project of MIT Comp 6702 (18 units)
Face Recognition in Hyperspectral Images Z. Pan, G. Healey, M. Prasad and B. Tromberg University of California Published at IEEE Trans. on PAMI Vol 25,
Eigenfaces As we discussed last time, we can reduce the computation by dimension reduction using PCA –Suppose we have a set of N images and there are c.
Face Recognition: An Introduction. Face Recognition Face is the most common biometric used by humans Applications range from static, mug-shot verification.
Enhancing Interactive Visual Data Analysis by Statistical Functionality Jürgen Platzer VRVis Research Center Vienna, Austria.
Facial Type, Expression, and Viseme Generation Josh McCoy, James Skorupski, and Jerry Yee.
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