Performance-driven hand-drawn animation
NPAR '00 Proceedings of the 1st international symposium on Non-photorealistic animation and rendering
Design and Use of Linear Models for Image Motion Analysis
International Journal of Computer Vision
Statistical Learning Theory: A Primer
International Journal of Computer Vision - special issue on learning and vision at the center for biological and computational learning, Massachusetts Institute of Technology
IEEE Transactions on Pattern Analysis and Machine Intelligence
Constructing Facial Identity Surfaces for Recognition
International Journal of Computer Vision
Emotional facial expression model building
Pattern Recognition Letters
Facial expressional image synthesis controlled by emotional parameters
Pattern Recognition Letters
Performance-driven hand-drawn animation
ACM SIGGRAPH 2006 Courses
Illumination invariant face alignment using multi-band active appearance model
PReMI'05 Proceedings of the First international conference on Pattern Recognition and Machine Intelligence
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In this paper, we describe image-based modeling techniques that make possible the creation of photo-realistic computer models of real human faces. The image-based model is built using example views of the face, bypassing the need for any three-dimensional computer graphics models. A learning network is trained to associate each of the example images with a set of pose and expression parameters. For a novel set of parameters, the network synthesizes a novel, intermediate view using a morphing approach. This image-based synthesis paradigm can adequately model both rigid and non-rigid facial movements. We also describe an analysis-by-synthesis algorithm, which is capable of extracting a set of high-level parameters from an image sequence involving facial movement using embedded image-based models. The parameters of the models are perturbed in a local and independent manner for each image until a correspondence-based error metric is minimized. A small sample of experimental results is presented.