Segmenting Shape Using Deformation Information
- Resource Type
- Journal Article
- Authors
- Hirotomo ASO; Ruiqi GUO; Shinichiro OMACHI
- Source
- IEICE Transactions on Information and Systems. 2009, E92.D(6):1296
- Subject
- deformation model
graph partition
shape matching
shape segmentation
- Language
- English
- ISSN
- 0916-8532
1745-1361
To segment a shape into parts is an important problem in shape representation and analysis. We propose in this paper a novel framework of shape segmentation using deformation models learned from multiple shapes. The deformation model from the target image to every other image is then estimated. Finally, normalized-cut graph partition is applied to the graph constructed based on the similarity of local patches in the target image, and a segmentation of the shape is carried out. Experimental results for images from MPEG7 shape database show the effectiveness of the proposed method.