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Content Provider | IEEE Xplore Digital Library |
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Author | Hel-Or, Y. Hel-Or, H. |
Copyright Year | 2003 |
Description | Author affiliation: Sch. of Comput. Sci., Interdisciplinary Center, Herzeliya, Israel (Hel-Or, Y.) |
Abstract | A novel approach to pattern matching is presented, which reduces time complexity by two orders of magnitude compared to traditional approaches. The suggested approach uses an efficient projection scheme which bounds the distance between a pattern and an image window using very few operations. The projection framework is combined with a rejection scheme which allows rapid rejection of image windows that are distant from the pattern. Experiments show that the approach is effective even under very noisy conditions. The approach described here can also be used in classification schemes where the projection values serve as input features that are informative and fast to extract. |
Sponsorship | IEEE Comput. Soc. Tech. Committee on Pattern Analysis & Machine Intelligence (TC-PAMI) |
Starting Page | 1486 |
Ending Page | 1493 |
File Size | 503239 |
Page Count | 8 |
File Format | |
ISBN | 0769519504 |
DOI | 10.1109/ICCV.2003.1238666 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2003-10-13 |
Publisher Place | France |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Pattern matching Kernel Euclidean distance Computer science Application software Pixel Image processing Computer vision Performance evaluation Computational complexity |
Content Type | Text |
Resource Type | Article |
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