QQ客服 官方微博 反馈留言

	SPARSE REPRESENTATION SHAPE MODEL
	Li, Yuelong ; Feng, Jufu
	2010
关键词	sparse representation shape model ASM shape extraction RECOGNITION
英文摘要	This paper introduces a novel shape model, Sparse Representation Shape Model (SRSM). Rather than for modeling specific deformable shapes, this model is specially designed for shape segmentation and matching. This model is utilized under the framework of Active Shape Models (ASM). Unlike the Linear Point Distribution Model utilized by original ASM, which relies on obscure statistical boundary to do shape regularization, SRSM distinctly distinguishes valid shape information and errors contained in input candidate shape from structure and by making use of sparse representation, SRSM could acquire the maximum valid shape information, and hence could achieve optimal shape regularization. Furthermore, through exploiting the reliability information of each landmark, SRSM can be improved further to form Weighted SRSM, which is much more evident and accurate.; http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000287728002203&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 ; Engineering, Electrical & Electronic; Imaging Science & Photographic Technology; EI; CPCI-S(ISTP); 8
语种	英语
DOI标识	10.1109/ICIP.2010.5651213
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/292985]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Li, Yuelong,Feng, Jufu. SPARSE REPRESENTATION SHAPE MODEL. 2010-01-01.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。