Successive Pose Clustering for Steroscopic Object Recognition.
Takeshi ShakunagaTohru OhnoPublished in: MVA (1998)
Keyphrases
- object recognition
- d objects
- clustering method
- unsupervised learning
- clustering algorithm
- computer vision
- pose estimation
- object representation
- hierarchical clustering
- improve recognition accuracy
- data clustering
- k means
- image features
- object detection
- neural network
- categorical data
- graph matching
- fuzzy clustering
- spectral clustering
- data points
- information theoretic
- image understanding
- document clustering
- cluster analysis
- object class
- scene understanding
- viewpoint
- natural images