Appearance-Based Statistical Object Recognition by Heterogeneous Background and Occlusions.
Michael ReinholdDietrich PaulusHeinrich NiemannPublished in: DAGM-Symposium (2001)
Keyphrases
- object recognition
- computer vision
- object detection
- background clutter
- object class
- cluttered background
- object representation
- natural images
- statistical models
- information theoretic
- category level
- image features
- d objects
- statistical analysis
- feature detection
- data driven
- viewpoint
- template matching
- feature matching
- foreground objects
- model construction
- scene classification
- man made
- image sequences
- robot localization
- visual object recognition
- real world
- constrained search
- foreground and background
- visual recognition
- image understanding
- statistical methods
- image matching