Presentation | 2005-12-16 Theoretical and experimental evaluation of optical flow detection methods based on modulated imaging Paul MASUREL, Dabi WEI, Toru KURIHARA, Shigeru ANDO, |
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Abstract(in English) | In this paper is discussed the use of both an conventional intensity image and a complex-valued correlation image to retrieve the optical flow. The correlation image consists of the correlation integrals between a chosen electrical signal and the time-varying light intensity, which can be acquired throught the use of the correlation image sensor (IEEE Trans. ED-50, 10, 2059-2066, 2003). This novel approach is examined and compared with traditional methods in several aspects : 1) image properties for various patterns and velocity, 2) detectability and accuracy vs. velocity, and 3) complex correlation image response to motion singularities. The comparison is made with both some standard image sequences extended for the modulated imaging, correlation image simulation using a raytracer. |
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Paper # | PRMU2005-135 |
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Committee | PRMU |
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Conference Date | 2005/12/9(1days) |
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Registration To | Pattern Recognition and Media Understanding (PRMU) |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Theoretical and experimental evaluation of optical flow detection methods based on modulated imaging |
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1st Author's Name | Paul MASUREL |
1st Author's Affiliation | Department of Information Physics and Computing, Graduate School of Information Science and Technology, University of Tokyo() |
2nd Author's Name | Dabi WEI |
2nd Author's Affiliation | Department of Information Physics and Computing, Graduate School of Information Science and Technology, University of Tokyo |
3rd Author's Name | Toru KURIHARA |
3rd Author's Affiliation | Department of Information Physics and Computing, Graduate School of Information Science and Technology, University of Tokyo |
4th Author's Name | Shigeru ANDO |
4th Author's Affiliation | Department of Information Physics and Computing, Graduate School of Information Science and Technology, University of Tokyo |
Date | 2005-12-16 |
Paper # | PRMU2005-135 |
Volume (vol) | vol.105 |
Number (no) | 478 |
Page | pp.pp.- |
#Pages | 6 |
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