ISCAS OpenIR  > 人机交互技术与智能信息处理实验室
shape filling rate for silhouette representation and recognition
An Guocheng; Zhang Fengjun; Wang Hong'an; Dai Guozhong
2010
Conference Name2010 20th International Conference on Pattern Recognition, ICPR 2010
SourceProceedings - International Conference on Pattern Recognition
Pages507-510
Conference DateAugust 23,
Conference PlaceIstanbul, Turkey
Indexed TypeEI
Publish PlaceUnited States
ISSN10514651
ISBN9780770000000
Department(1) Intelligence Engineering Lab., Institute of Software Chinese Academy of Sciences, 100190, China
English AbstractResearch on complex shape recognition showed that the shape context algorithm is sensitive to relative position variation of articulation. Aimed at this problem, a shape recognition method is proposed based on local shape filling rate of various object silhouettes. We take each landmark point as a circle center and use r as its radius. Then, under a particular radius, the ratio between the covered silhouette pixels and the total pixels is defined as local shape filling rate. Thus, different radius may form different local shape filling rates. All landmark points with different radius will constitute a characteristic matrix which can effectively reflects the entire statistical property of the object shape. Experiments on a variety of shape databases show that the novel method is insensitive to articulation and less influenced by the number of landmark points, so our algorithm has strong power in describing object details. © 2010 IEEE.
KeywordFilling Pixels
Content Type会议论文
URIhttp://ir.iscas.ac.cn/handle/311060/8900
Collection人机交互技术与智能信息处理实验室
Recommended Citation
GB/T 7714
An Guocheng,Zhang Fengjun,Wang Hong'an,et al. shape filling rate for silhouette representation and recognition[C]. United States,2010:507-510.
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