Tracking 3D pose of rigid objects using Inverse Compositional Active Appearance Models.
Pradit MittrapiyanurukGuilherme N. DeSouzaPublished in: Int. J. Knowl. Based Intell. Eng. Syst. (2010)
Keyphrases
- rigid objects
- active appearance models
- inverse compositional
- motion parameters
- lucas kanade
- aam fitting
- image alignment
- point correspondences
- optical flow
- motion analysis
- image sequences
- gauss newton
- least squares
- motion model
- kalman filter
- motion estimation
- appearance model
- camera motion
- person specific
- dynamic scenes
- statistical model
- flow field
- feature points
- low resolution
- appearance variations
- pose estimation
- motion field
- moving objects
- multi view
- video sequences
- shape model
- d objects
- deformable models
- facial features
- closed form
- facial images
- human faces
- three dimensional
- object tracking
- computational complexity
- single view
- image registration
- structure from motion
- motion segmentation
- visual tracking