CASIA OpenIR  > 09年以前成果
Accelerated convergence using dynamic mean shift
Zhang, K; Kwok, JT; Tang, M; Leonardis, A; Bischof, H; Pinz, A
2006
发表期刊COMPUTER VISION - ECCV 2006, PT 2, PROCEEDINGS
卷号3952页码:257-268
文章类型Article
摘要Mean shift is an iterative mode-seeking algorithm widely used in pattern recognition and computer vision. However, its convergence is sometimes too slow to be practical. In this paper, we improve the convergence speed of mean shift by dynamically updating the sample set during the iterations, and the resultant procedure is called dynamic mean shift (DMS). When the data is locally Gaussian, it can be shown that both the standard and dynamic mean shift algorithms converge to the same optimal solution. However, while standard mean shift only has linear convergence, the dynamic mean shift algorithm has superlinear convergence. Experiments on color image segmentation show that dynamic mean shift produces comparable results as the standard mean shift algorithm, but can significantly reduce the number of iterations for convergence and takes much less time.
WOS标题词Science & Technology ; Technology
收录类别ISTP ; SCI
语种英语
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods
WOS记录号WOS:000237555200020
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/9341
专题09年以前成果
作者单位1.Hong Kong Univ Sci & Technol, Dept Comp Sci, Kowloon, Hong Kong, Peoples R China
2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China
推荐引用方式
GB/T 7714
Zhang, K,Kwok, JT,Tang, M,et al. Accelerated convergence using dynamic mean shift[J]. COMPUTER VISION - ECCV 2006, PT 2, PROCEEDINGS,2006,3952:257-268.
APA Zhang, K,Kwok, JT,Tang, M,Leonardis, A,Bischof, H,&Pinz, A.(2006).Accelerated convergence using dynamic mean shift.COMPUTER VISION - ECCV 2006, PT 2, PROCEEDINGS,3952,257-268.
MLA Zhang, K,et al."Accelerated convergence using dynamic mean shift".COMPUTER VISION - ECCV 2006, PT 2, PROCEEDINGS 3952(2006):257-268.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Zhang, K]的文章
[Kwok, JT]的文章
[Tang, M]的文章
百度学术
百度学术中相似的文章
[Zhang, K]的文章
[Kwok, JT]的文章
[Tang, M]的文章
必应学术
必应学术中相似的文章
[Zhang, K]的文章
[Kwok, JT]的文章
[Tang, M]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

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。