Chao-Kuei Hsieh

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Face recognition is one of the most intensively studied topics in computer vision and pattern recognition, but few are focused on how to robustly recognize faces with expressions under the restriction of one single training sample per class. A constrained optical flow algorithm, which combines the advantages of the unambiguous correspondence of feature(More)
Avatars in many applications are constructed manually or by a single speech-driven model which needs a lot of training data and long training time. It is essential to build up a user-dependent model more efficiently. In this paper, a new adaptation method, called the partial linear regression (PLR), is proposed and adopted in an audio-driven talking head(More)
Fast, reliable, and marker-free facial expression analysis still remains to be a difficult task in computer vision research. In this paper, the concept of speech-assisted facial expression analysis and synthesis is proposed, which shows that the speech-driven facial animation technique not only can be used for expression synthesis, it also provides useful(More)
The visual perception of model-based coding is usually not good enough. We develop a facial expression cloning system which can make a 3-D facial model lifelike, and transfer a person's subtle facial change to another's by using the expression ratio image (ERI). An expressive 3-D facial model will be shown. On the other hand, we intend to achieve an(More)
Most of the facial animation applications, such as automatic face detection, recognition, and tracking are sensitive to the different lighting conditions and complicated background environment, especially for accurate expression analysis in virtual conferencing system. The main work in this research is to detect the faces under these complex situations and(More)