@article {13160,
	title = {Edge affinity for pose-contour matching},
	journal = {Computer Vision and Image Understanding},
	volume = {104},
	year = {2006},
	month = {2006/10//},
	pages = {36 - 47},
	abstract = {We present an approach for whole-body pose-contour matching. Contour matching in natural images in the absence of foreground{\textendash}background segmentation is difficult. Usually an asymmetric approach is adopted, where a contour is said to match well if it aligns with a subset of the image{\textquoteright}s gradients. This leads to problems as the contour can match with a portion of an object{\textquoteright}s outline and ignore the remainder. We present a model for using edge continuity to address this issue. Pairs of edge elements in the image are linked with affinities if they are likely to belong to the same object. A contour that matches with a set of image gradients is constrained to also match with other gradients having high affinities with the chosen ones. Experimental results show that this improves matching performance.},
	keywords = {Contour matching, Edge continuity},
	isbn = {1077-3142},
	doi = {10.1016/j.cviu.2006.06.008},
	url = {http://www.sciencedirect.com/science/article/pii/S1077314206000737},
	author = {Prasad,V. S.N and Davis, Larry S. and Tran,Son Dinh and Elgammal,Ahmed}
}
