Invariant Image Object Recognition Using Mixture Densities.
Jörg DahmenDaniel KeysersMark Oliver GüldHermann NeyPublished in: ICPR (2000)
Keyphrases
- image data
- input image
- image analysis
- bounding box
- spatial relations
- single image
- image content
- moment invariants
- complex scenes
- spatial relationships
- region of interest
- multiscale
- invariant properties
- target object
- image regions
- image retrieval
- pixel level
- invariant features
- edge detection
- image features
- high resolution
- quasi invariant
- object pose
- image transformations
- gaussian distribution
- image representation
- multiple objects
- d objects
- partial occlusion
- normalized correlation
- boundary contour
- segmentation algorithm
- geometric transformations
- segmentation method
- test images
- invariant representation
- image segmentation
- spatial information
- object classes
- planar objects
- similar objects
- object shape
- object models
- probability density function
- image set