A general shape context framework for object identification

作者：Chi Yanling^*; Leung Maylor K H

来源：Computer Vision and Image Understanding, 2008, 112(3): 324-336.

DOI：10.1016/j.cviu.2008.05.009

• Object retrieval
• Shape recognition
• Indexing

A general shape context framework is proposed for object/image retrieval ill Occluded and cluttered environment with hundreds of models as the potential matches of in input. The approach is general since it does not require separation of input objects from complex background. It works by first extracting consistent and structurally Unique local neighborhood information from inputs Or models, and then voting on the optimal matches. Its performance degrades gracefully with respect to the amount of structural information that is being occluded or lost. The local neighborhood information applicable to the system can be shape, color, texture feature, etc. Currently, we employ shape information only. The mechanism of voting is based On a novel hyper cube based indexing structure, and driven by dynamic programming. The proposed concepts have been tested oil database with thousands of images. Very encouraging results have been obtained.

• 出版日期2008-12
• 单位南阳理工学院