Estimating human 3D pose from Time-of-Flight images based on geodesic distances and optical flow.
Loren Arthur SchwarzArtashes MkhitaryanDiana MateusNassir NavabPublished in: FG (2011)
Keyphrases
- optical flow
- time of flight
- image data
- geodesic distance
- input image
- three dimensional
- image analysis
- image matching
- depth images
- geometric structure
- feature points
- euclidean space
- depth map
- intensity images
- input data
- object recognition
- keypoints
- motion model
- manifold learning
- depth information
- pose estimation
- motion estimation
- d objects
- real scenes
- image retrieval