Sparse Resultant-Based Minimal Solvers in Computer Vision and Their Connection with the Action Matrix.
Snehal BhayaniJanne HeikkiläZuzana KukelovaPublished in: J. Math. Imaging Vis. (2024)
Keyphrases
- computer vision
- sparse matrix
- coefficient matrix
- vision system
- pattern recognition
- rank minimization
- image segmentation
- object recognition
- high dimensional
- sparse representation
- image understanding
- computer graphics
- eigenvalue problems
- eigenvalue decomposition
- computer vision algorithms
- object detection
- linear systems
- signal processing
- human actions
- optical flow
- singular value decomposition
- image sequences
- binary matrices
- image processing
- positive semi definite
- camera calibration
- image features
- image registration
- low rank matrices
- pose estimation
- low rank matrix
- image analysis
- low rank
- sparse data
- image matching
- structure from motion
- random projections
- search space
- face recognition
- sparse coding
- tensor decomposition
- covariance matrix
- activity recognition
- action recognition
- machine learning