Sparse resultant based minimal solvers in computer vision and their connection with the action matrix.
Snehal BhayaniJanne HeikkiläZuzana KukelovaPublished in: CoRR (2023)
Keyphrases
- computer vision
- coefficient matrix
- sparse matrix
- object recognition
- image understanding
- high dimensional
- image processing
- pattern recognition
- computer graphics
- vision system
- eigenvalue problems
- rank minimization
- compressive sensing
- sparse data
- action recognition
- object detection
- low rank
- machine learning
- low rank matrices
- eigenvalue decomposition
- low rank matrix
- human actions
- image analysis
- optical flow
- orders of magnitude
- binary matrices
- image sequences
- low rank approximation
- dictionary learning
- sparse coding
- image matching
- pose estimation
- computer vision algorithms
- state space
- action selection
- sat solvers
- image segmentation
- image features
- sparse representation