Spaces and manifolds of shapes in computer vision: An overview.
Laurent YounesPublished in: Image Vis. Comput. (2012)
Keyphrases
- computer vision
- arbitrary dimension
- shape matching
- computer vision and computer graphics
- riemannian manifolds
- euclidean space
- shape analysis
- shape recognition
- computer graphics
- pattern recognition
- image processing
- object detection
- image understanding
- computer vision algorithms
- manifold learning
- shape descriptors
- machine learning
- low dimensional spaces
- cell complexes
- object recognition
- image analysis
- geodesic paths
- line drawings
- vision system
- three dimensional objects
- optical flow
- image features
- configuration space
- statistical shape model
- dimensionality reduction
- structure from motion
- face recognition
- high dimensional data
- camera calibration
- image matching
- low dimensional
- higher dimensional
- image sequences
- latent space
- face detection
- geometric shapes
- pose estimation
- shape model