QQ客服 官方微博 反馈留言

	Automatic shape model construction in multiscale space
	Liu Shu ; Luo Yupin ; Yang Shiyuan
	2010-05-06 ; 2010-05-06
关键词	Practical Theoretical or Mathematical/ curve fitting image denoising image matching image segmentation solid modelling/ automatic shape model construction learning models deformable shape contours multiscale matching pedestrian contours/ B6135 Optical, image and video signal processing C5260B Computer vision and image processing techniques C6130B Graphics techniques
中文摘要	This paper presents a novel approach for learning models from deformable shape contours using multi-scale matching. For the contours with a large degree of noise and deformation, firstly, contours are segmented and matched in multi-scale space. In this process, the scale parameter is adjusted according to the noise and deformation degree. Then, shape model is deduced from the correspondence of curve sequences. The proposed approach is effective to deal with noise and deformation of the models of closed contours. An application is reported to build the models of pedestrian contours with good result.
语种	中文 ; 中文
出版者	Science Press ; China
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/9143]
专题	清华大学
推荐引用方式 GB/T 7714	Liu Shu,Luo Yupin,Yang Shiyuan. Automatic shape model construction in multiscale space[J],2010, 2010.
APA	Liu Shu,Luo Yupin,&Yang Shiyuan.(2010).Automatic shape model construction in multiscale space..
MLA	Liu Shu,et al."Automatic shape model construction in multiscale space".(2010).

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。