CASIA OpenIR  > 09年以前成果
Dyadic scale space
Cong, G; Ma, SD
Source PublicationPATTERN RECOGNITION
1997-02-01
Volume30Issue:2Pages:339-352
SubtypeArticle
AbstractIn this paper, we first approximate the Gaussian function with any scale by the linear finite combination of Gaussian functions with dyadic scale; consequently, the scale space can be constructed much more efficiently: we only perform smoothing at these dyadic scales and the smoothed signals at other scales can be found by calculating linear combinations of these discrete scale signals. We show that the approximation error is so small that our approach can be used in most of the computer vision fields. We analyse the behavior of zero-crossing (ZC) across scales and show that features at any scale can be found efficiently by tracking from the dyadic scales, thus we show that the new representation is necessary and complete. In the case that the derivatives are calculated by a special multiscale filter, we show that all the derivative signals can be treated in the same way. Copyright (C) 1997 Pattern Recognition Society.
KeywordMultiscale Signal Processing Scale Space Dyadic Scale Space Interpolation Feature Detection Approximating Gaussian Zero-crossing
WOS HeadingsScience & Technology ; Technology
WOS KeywordEDGE-DETECTION ; FILTERS
Indexed BySCI
Language英语
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS IDWOS:A1997WR18900015
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/21913
Collection09年以前成果
Recommended Citation
GB/T 7714
Cong, G,Ma, SD. Dyadic scale space[J]. PATTERN RECOGNITION,1997,30(2):339-352.
APA Cong, G,&Ma, SD.(1997).Dyadic scale space.PATTERN RECOGNITION,30(2),339-352.
MLA Cong, G,et al."Dyadic scale space".PATTERN RECOGNITION 30.2(1997):339-352.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Cong, G]'s Articles
[Ma, SD]'s Articles
Baidu academic
Similar articles in Baidu academic
[Cong, G]'s Articles
[Ma, SD]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Cong, G]'s Articles
[Ma, SD]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.