On a realization of motion and similarity group equivalence classes of labeled points in $\mathbb R^k$ with applications to computer vision.
Steven B. DamelinDavid L. RagozinMichael WermanPublished in: CoRR (2021)
Keyphrases
- equivalence classes
- computer vision
- equivalence class
- image sequences
- optical flow
- projective geometry
- motion estimation
- feature points
- geometrical constraints
- motion field
- point sets
- similarity measure
- bayesian network structures
- perspective views
- space time
- motion analysis
- stereo rig
- directed acyclic graph
- vision system
- distance measure
- object recognition
- computer graphics
- computational geometry
- pattern recognition
- rigid motion
- motion model
- video surveillance
- human motion
- camera calibration
- object detection
- moving objects
- image segmentation
- motion parameters
- similar objects
- lie group
- image registration
- data points
- information processing