Proceedings of the 26th annual conference on Computer graphics and interactive techniques
Trainable videorealistic speech animation
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Manifold Based Analysis of Facial Expression
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 5 - Volume 05
Face Recognition Using Laplacianfaces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face transfer with multilinear models
ACM SIGGRAPH 2005 Papers
Expressive speech-driven facial animation
ACM Transactions on Graphics (TOG)
Expressive Facial Animation Synthesis by Learning Speech Coarticulation and Expression Spaces
IEEE Transactions on Visualization and Computer Graphics
Stylized synthesis of facial speech motions
Computer Animation and Virtual Worlds - CASA 2007
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The visual facial appearances are important to the speaking perception. The effective and reasonable extraction of the transition motions between the keyframes is desirable to the facial speech animation. In this paper, we present the visyllable-specific transition motion embedding with the temporal extension of the Laplacian eigenmaps (TLE). By imposing the temporal constraints, the TLE-based embedding preserves the possible transitions between the keyshapes inside the visyllable sequence. Given the keyframe pair, the in-between transition motions can be extracted in the latent space by the shortest path searching algorithm. Our experiments demonstrate an effective engine for embedding and extracting the transition motions specific to the visyllables.