Single-histogram class models for image segmentation
<p>Histograms of visual words (or textons) have proved effective in tasks such as image classification and object class recognition. A common approach is to represent an object class by a set of histograms, each one corresponding to a training exemplar. Classification is then achieved by k-nea...
Main Authors: | Schroff, F, Criminisi, A, Zisserman, A |
---|---|
Format: | Conference item |
Language: | English |
Published: |
Springer
2006
|
Similar Items
-
Harvesting image databases from the Web
by: Schroff, F, et al.
Published: (2007) -
Harvesting image databases from the Web
by: Schroff, F, et al.
Published: (2010) -
Geodesic star convexity for interactive image segmentation
by: Gulshan, V, et al.
Published: (2010) -
Learning class-specific edges for object detection and segmentation
by: Prasad, M, et al.
Published: (2006) -
TriCoS: a tri-level class-discriminative co-segmentation method for image classification
by: Chai, Y, et al.
Published: (2012)