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» Gesture-Based Affective Computing on Motion Capture Data
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ICIP
2010
IEEE
14 years 12 months ago
Motion-blur-free exposure fusion
We present a novel approach to HDR (high-dynamic-range) image fusion that copes with image blur degradation often present in longexposed images. The proposed approach can deal wit...
Marius Tico, Natasha Gelfand, Kari Pulli
119
Voted
CVPR
2010
IEEE
15 years 10 months ago
Learning Shift-Invariant Sparse Representation of Actions
A central problem in the analysis of motion capture (Mo- Cap) data is how to decompose motion sequences into primitives. Ideally, a description in terms of primitives should fac...
Yi Li
CGF
2004
95views more  CGF 2004»
15 years 1 months ago
Hierarchical Retargetting of Fine Facial Motions
We present a novel technique for retargetting captured facial animation to new facial models. We use dense motion data that can express fine motions such as wrinkles. We use a nor...
Kyunggun Na, Moonryul Jung
153
Voted
ICCV
2011
IEEE
14 years 1 months ago
Dynamic Manifold Warping for View Invariant Action Recognition
We address the problem of learning view-invariant 3D models of human motion from motion capture data, in order to recognize human actions from a monocular video sequence with arbi...
Dian Gong, Gerard Medioni
129
Voted
IVA
2005
Springer
15 years 7 months ago
A Platform Independent Architecture for Virtual Characters and Avatars
this is via the ”Motion Abstraction”. This is a single abstraction that represents any type of animation of a character. Different implementations of the ion can provide very ...
M. Gillies, Vinoba Vinayagamoorthy, D. Robeterson,...