Modeling articulated visual human motion
- Style and content decomposition in dynamic human motion
Representation of intrinsic body configuration in low dimensional nonlinear manifolds
- Ahmed Elgammal and Chan-Su Lee,
Separating Style and Content on a Nonlinear Manifold
, CVPR, USA, 2004
- Ahmed Elgammal and Chan-Su Lee,
Inferring 3D Body Pose from Silhouettes using Activity Manifold Learning
, CVPR, USA, 2004
- Ahmed Elgammal, Chan-Su Lee,
Nonlinear Manifold Learning for Dynamic Shape and Dynamic Appearance, accepted in CVIU
- Factorized nonlinear generative models for human motion
- Motion primitive analysis
- Human visual preception
Human visual perception is processed in low dimensional visual cortex. Recent research shows that human visual perception and motion control are connceted as shown in mirror neuron, which is a neuron that fires both when an animal performs an action and when the animal observes the same action performed by another animal. Related to the fundamental problem of representation of human motion in low dimensional manifold, a new representation may be found by combining visual manifold and kinematic motion manifold for human motion.
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