Presentation 2001/2/16
Precise Sub-Pixel Estimation on Area-Based Matching
Masao SHIMIZU, Masatoshi OKUTOMI,
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Abstract(in English) Area-based matching is a common procedure in various fields like image-based measurements, stereo image processing, and fluidics. Sub-pixel estimation using parabola fitting over three points with their similarity measures is also a common method to increase the resolution of matching. However, few investigations or studies concerning the characteristics of this estimation are reported. In this paper, we have analyzed the sub-pixel estimation error by using an approximate image function and three kinds of similarity measures for matching. The result illustrates some inherent phenomena like so called "pixel-locking". Additionally, we propose a new algorithm to greatly reduce the sub-pixel estimation error. This method is independent from the similarity measure and quite simple to implement. The advantage of our novel method is confirmed through experiments using two different types of images.
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Keyword(in English) area-based matching / sub-pixel estimation / estimation error / pixel-locking
Paper # PRMU2000-193
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Conference Information
Committee PRMU
Conference Date 2001/2/16(1days)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Precise Sub-Pixel Estimation on Area-Based Matching
Sub Title (in English)
Keyword(1) area-based matching
Keyword(2) sub-pixel estimation
Keyword(3) estimation error
Keyword(4) pixel-locking
1st Author's Name Masao SHIMIZU
1st Author's Affiliation Graduate School of Information Science and Engineering, Tokyo Institute of Technology()
2nd Author's Name Masatoshi OKUTOMI
2nd Author's Affiliation Graduate School of Information Science and Engineering, Tokyo Institute of Technology
Date 2001/2/16
Paper # PRMU2000-193
Volume (vol) vol.100
Number (no) 634
Page pp.pp.-
#Pages 8
Date of Issue