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Tracking and recognizing rigid and non-rigid facial motions using local parametric models of image motion

M.J. Black, Y. Yacoob
Proceedings of IEEE International Conference on Computer Vision  
This paper explores the use of local parametrized models of image motion for recovering and recognizing the non-rigid and articulated morion of human faces.  ...  We observe that within local regions in space and time, such models not only accurately model non-rigid facial motions but also provide a concise description of the motion in terms of a small number of  ...  Acknowledgements We thank Larry Davis for his valuable comments and suggestions. We also appreciate the cooperation of the forty volunteers who made our experiments possible. November 1994.  ... 
doi:10.1109/iccv.1995.466915 dblp:conf/iccv/BlackY95 fatcat:eqlmibhj2jhxtpmi3ih5ennx4u

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Michael J. Black, Yaser Yacoob
2012 International Journal of Computer Vision  
This paper explores the use of local parametrized models of image motion for recovering and recognizing the non-rigid and articulated motion of human faces.  ...  We observe that within local regions in space and time, such models not only accurately model non-rigid facial motions but also provide a concise description of the motion in terms of a small number of  ...  Without the wonderful cooperation of our forty volunteers in subjecting themselves to the intrusive experiments on their facial expressions this work would not have been possible.  ... 
doi:10.1023/a:1007977618277 fatcat:vmrumcuas5cwxi24n4oqoaw5da

Recognizing Human Motion Using Parameterized Models of Optical Flow [chapter]

Michael J. Black, Yaser Yacoob, Shanon X. Ju
1997 Computational Imaging and Vision  
Rigid Face Transformation Non-rigid Facial Features In our representation we approximate the non-rigid motion of a person using a set of parameterized models of optical ow.  ...  Conclusion We h a ve presented a method for tracking non-rigid and articulated human motion in an image sequence using parameterized models of optical ow and have shown how this representation of human  ... 
doi:10.1007/978-94-015-8935-2_11 fatcat:v52kzqzzg5fufnkq6afucqtwke

Automatic recognition of facial expressions in image sequences: A review

R A Patil, Vineet Sahula, A. S. Mandal
2010 2010 5th International Conference on Industrial and Information Systems  
Automatic facial expression recognition systems can be mainly used for human computer interaction and data driven animation.  ...  For human beings, facial expression is one of the most powerful and natural way to communicate their emotions and intensions.  ...  Black and Yacoob [7] , utilize local parametrized models of image motion to represent rigid head motions and nonrigid facial motions within the local facial areas.  ... 
doi:10.1109/iciinfs.2010.5578670 fatcat:fjmsqip2p5etbnpp7ojx26sa7y

A review of motion analysis methods for human Nonverbal Communication Computing

Dimitris Metaxas, Shaoting Zhang
2013 Image and Vision Computing  
It uses image sequences to detect and track people, and 0262-8856/$see front matter  ...  As one of the most active research areas in computer vision, human motion analysis has become a widely-used tool in this area.  ...  We also would like to thank our long time collaborators Judee Burgoon (UA), David Dinges (UPENN), and Carol Neidle (BU). Metaxas would like to thank his previous PhD students Ioannis Kakadiaris  ... 
doi:10.1016/j.imavis.2013.03.005 fatcat:ylxt5bph2jfgrfd5a4c22qn66u

Deep incremental learning for efficient high-fidelity face tracking

Chenglei Wu, Takaaki Shiratori, Yaser Sheikh
2018 ACM Transactions on Graphics  
ACKNOWLEDGMENTS We would like to thank the actors for allowing us to use their data in Section 6.1, the authors of Beeler and colleagues [2011] and Fyffe and colleagues [2017] for providing their data  ...  for the comparisons in Section 6.4, and Colin Lea and all reviewers for their constructive discussions and feedback.  ...  Many existing approaches use holistic linear models for real-time facial tracking, which optimize rigid head pose and model coefficients by minimizing facial landmarks, depth and/or image differences  ... 
doi:10.1145/3272127.3275101 fatcat:4bsyon3xuzfuzjn43pupxaye44

Facial expression recognition using Hough forest

Chi-Ting Hsu, Shih-Chung Hsu, Chung-Lin Huang
2013 2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference  
Finally, classification and localization of the center of the facial expression in the video sequences are performed by using a Hough forest.  ...  Facial expressions analysis encounters two major problems: non-rigid morphing (human facial expression are non-rigid and shape deformation) and person-specific appearance (the facial action features are  ...  We capture the facial images through the camera, analyze the non-rigid morphing facial expressions, and eliminate the person-specific effects through patch features extracted from facial motion.  ... 
doi:10.1109/apsipa.2013.6694152 dblp:conf/apsipa/HsuHH13 fatcat:ndul5ox2wncifh2qzuzja2wcoa

Temporal Segmentation of Facial Behavior

Fernando De la Torre, Joan Campoy, Zara Ambadar, Jeffrey F. Cohn
2007 2007 IEEE 11th International Conference on Computer Vision  
These include non-frontal pose, moderate to large out-of-plane head motion, large variability in the temporal scale of facial gestures, and the exponential nature of possible facial action combinations  ...  Temporal segmentation of facial gestures in spontaneous facial behavior recorded in real-world settings is an important, unsolved, and relatively unexplored problem in facial image analysis.  ...  We use person-specific Active Appearance Models [28, 9] to track the non-rigid/rigid motion in the sequence (see fig. 6 ).  ... 
doi:10.1109/iccv.2007.4408961 dblp:conf/iccv/TorreCAC07 fatcat:3bfl26bwdbeeff2vt5w5ksodfi

Robust Facial Expression Recognition Using Near Infrared Cameras

Laszlo A. Jeni, Hideki Hashimoto, Takashi Kubota
2012 Journal of Advanced Computational Intelligence and Intelligent Informatics  
Precise 3D shape information of the human face can be computed by means of Constrained Local Models (CLM), which fits a dense model to an unseen image in an iterative manner.  ...  Facial expressions are a form of non-verbal communication, recognizing them helps to improve the human-machine interaction.  ...  The rigid (head motion) and non-rigid (expressions) motion of the head are combined in video images, therefore it is necessary to separate these [34] .  ... 
doi:10.20965/jaciii.2012.p0341 fatcat:nzyyptjevvewbc722wnuihper4

Capturing subtle facial motions in 3D face tracking

Zhen Wen, Huang
2003 Proceedings Ninth IEEE International Conference on Computer Vision  
We propose a new ratio-image based appearance feature, which is independent of a person's face albedo. This feature is used to track face appearance variations based on exemplars.  ...  Facial motions produce not only facial feature points motions, but also subtle appearance changes such as wrinkles and shading changes.  ...  We also thank Zicheng Liu, Zhengyou Zhang, and anonymous reviewers for their valuable comments.  ... 
doi:10.1109/iccv.2003.1238646 dblp:conf/iccv/WenH03 fatcat:ivres3v4mfcq7givdmx4jwp7ju

A low cost framework for real-time marker based 3-D human expression modeling

Alexander Woodward, Yuk Hin Chan, Rui Gong, Minh Nguyen, Trevor Gee, Patrice Delmas, Georgy Gimel'farb, Jorge Alberto Marquez Flores
2017 Journal of Applied Research and Technology  
Stereo web-cameras perform 3-D marker tracking to obtain head rigid motion and the non-rigid motion of expressions.  ...  The expressive power of the system and its ability to recognize new expressions was evaluated on a group of test subjects with respect to the six universally recognized facial expressions.  ...  Head local coordinate frame and reference marker positions In order to estimate the non-rigid motion of facial expressions rigid head motion must be accounted for.  ... 
doi:10.1016/j.jart.2017.01.002 fatcat:dixl5c4khvayhlcjvtnkrmdesi

Analysis of Human-Machine Interaction Through Facial Expression and Hand-Gesture Recognition

2019 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
Other systems have added various combinations of hand gestures and facial expressions as videos or images.  ...  This paper focuses on a review of recent work on facial expression and hand gesture recognitions. Facial expressions and hand gestures are used to express emotions without oral communication.  ...  For facial feature recognition, a statistical mode-based real time system was developed [1] , which separated rigid and non-rigid motion facial expressions.  ... 
doi:10.35940/ijitee.i3287.0789s319 fatcat:m2e4ietb5jcpniopk3jryswucu

Page 319 of Behavior Research Methods Vol. 33, Issue 3 [page]

2001 Behavior Research Methods  
Tracking and recognizing rigid and non-rigid facial motions using local parametric models of image mo¬ tions. Proceedings of the International Conference on Computer Vi¬ sion, 1, 374-381.  ...  The integration of optical flow and deformable models with applications to human face shape and motion estimation.  ... 

Coding, analysis, interpretation, and recognition of facial expressions

I.A. Essa, A.P. Pentland
1997 IEEE Transactions on Pattern Analysis and Machine Intelligence  
We describe a computer vision system for observing facial motion by using an optimal estimation optical flow method coupled with geometric, physical and motion-based dynamic models describing the facial  ...  Our method produces a reliable parametric representation of the face's independent muscle action groups, as well as an accurate estimate of facial motion.  ...  of this project.  ... 
doi:10.1109/34.598232 fatcat:y6dybexw6bbnfitewvv67kknze

Proceedings 16th International Conference on Pattern Recognition

2002 Object recognition supported by user interaction for service robots  
Kita Estimation of Rigid and Non-Rigid Facial Motion Using Anatomical Face Model 311 A. Yilmaz, K. Shafique. and M.  ...  Hancock Bayesian Rendering with Non-Parametric Multiscale Prior Model 241 M.  ... 
doi:10.1109/icpr.2002.1044572 fatcat:3yvquccps5aqdmizmzyhbkybwi
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