A unified probabilistic framework for spontaneous facial action modeling and understanding

IEEE Transactions on Pattern Analysis and Machine Intelligence
Yan TongQiang Ji

Abstract

Facial expression is a natural and powerful means of human communication. Recognizing spontaneous facial actions, however, is very challenging due to subtle facial deformation, frequent head movements, and ambiguous and uncertain facial motion measurements. Because of these challenges, current research in facial expression recognition is limited to posed expressions and often in frontal view. A spontaneous facial expression is characterized by rigid head movements and nonrigid facial muscular movements. More importantly, it is the coherent and consistent spatiotemporal interactions among rigid and nonrigid facial motions that produce a meaningful facial expression. Recognizing this fact, we introduce a unified probabilistic facial action model based on the Dynamic Bayesian network (DBN) to simultaneously and coherently represent rigid and nonrigid facial motions, their spatiotemporal dependencies, and their image measurements. Advanced machine learning methods are introduced to learn the model based on both training data and subjective prior knowledge. Given the model and the measurements of facial motions, facial action recognition is accomplished through probabilistic inference by systematically integrating visual measurement...Continue Reading

References

Aug 29, 1998·British Journal of Haematology·M F MurphyA H Goldstone
May 7, 2005·IEEE Transactions on Pattern Analysis and Machine Intelligence·Yongmian Zhang, Qiang Ji
Jun 21, 2005·Neural Networks : the Official Journal of the International Neural Network Society·Spiros V IoannouStefanos D Kollias
Apr 11, 2006·IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society·Maja Pantic, Ioannis Patras
Aug 19, 2007·IEEE Transactions on Pattern Analysis and Machine Intelligence·Yan TongQiang Ji

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Citations

Oct 13, 2011·Cognitive Processing·Laurens van der Maaten, Emile Hendriks
Dec 10, 2014·Behavior Research Methods·Jeffrey M GirardFernando De la Torre
Oct 8, 2014·IEEE Transactions on Cybernetics·Lin ZhongDimitris N Metaxas
Jun 24, 2014·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Sima TaheriRama Chellappa
Mar 27, 2013·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Yongqiang LiQiang Ji
Apr 20, 2013·IEEE Transactions on Pattern Analysis and Machine Intelligence·Ognjen RudovicIoannis Yiannis Patras
Sep 12, 2015·IEEE Transactions on Pattern Analysis and Machine Intelligence·Evangelos SariyanidiAndrea Cavallaro
Jun 28, 2012·IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society·Michel F ValstarKlaus Scherer
May 15, 2012·IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society· Songfan Yang, Bir Bhanu
Apr 11, 2015·IEEE Transactions on Cybernetics·Mohammad Reza MohammadiMohammad H Mahoor
Apr 25, 2015·IEEE Transactions on Cybernetics·Hongying MengJohn P Cosmas
Dec 8, 2015·IEEE Transactions on Affective Computing·Zakia HammalDaniel S Messinger
May 31, 2017·Photomedicine and Laser Surgery·Daniela Vieira BuchaimRogerio Leone Buchaim

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