Toward a Model-Based Bayesian Theory for Estimating and Recognizing Parameterized 3-D Objects Using Two or More Images Taken from Different Positions.
Bruno Cernuschi-FríasDavid B. CooperYi-Ping HungPeter N. BelhumeurPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (1989)
Keyphrases
- d objects
- three dimensional
- object recognition
- rigid body
- polyhedral objects
- recognizing objects
- integral imaging
- cad models
- image contours
- curved objects
- object parts
- texture mapping
- image data
- geometric models
- real objects
- three dimensional objects
- viewpoint
- man made objects
- input image
- multi view
- invariant recognition
- partial matching
- multiple views
- pose estimation
- computer generated images
- real world objects
- geometric invariants
- surface patches
- range data
- viewing direction
- line drawings
- surface features
- object features
- curved surfaces
- test images
- computer graphics
- object classes
- shape descriptors
- image features
- occluded objects
- aerial images
- illumination conditions
- spatial information
- computer vision