TextonBoost for Image Understanding: Multi-Class Object Recognition and Segmentation by Jointly Modeling Texture, Layout, and Context.
Jamie ShottonJohn M. WinnCarsten RotherAntonio CriminisiPublished in: Int. J. Comput. Vis. (2009)
Keyphrases
- image understanding
- image segmentation
- multi class object recognition
- low level vision
- image analysis
- computer vision
- object recognition
- texture segmentation
- image interpretation
- image parsing
- texture analysis
- image description
- segmentation method
- semantic segmentation
- textured regions
- computational vision
- boundary information
- intermediate level vision
- multiscale
- object detection
- gabor filters
- control structure
- image annotation
- gray level
- color features
- texture feature extraction
- image segmentations
- level set
- segmentation algorithm
- region growing
- multiple scales
- grey level
- region merging
- texture information
- object segmentation
- image analysis and computer vision
- image processing
- neural network