Presentation | 2007-09-03 Maximum Likelihood Estimation of the Fundamental Matrix in the Presence of Large Noise Kenichi Kanatani, Yasuyuki Sugaya, |
---|---|
PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Many methods have been proposed for computing the fundamental matrix from noisy point correspondences over two images. This paper presents a new method for computing exact maximum likelihood in the image plane for high noise level. Unlike existing such methods, our method iteratively applies a simple method for low noise level, greatly simplifies the computation. Using simulated and real images, we show that no significant accuracy improvement is observed as compared with the low noise level method, concluding that the low noise level method is sufficient for practical applications. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | |
Paper # | PRMU2007-56,HIP2007-65 |
Date of Issue |
Conference Information | |
Committee | HIP |
---|---|
Conference Date | 2007/8/27(1days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | |
Chair | |
Vice Chair | |
Secretary | |
Assistant |
Paper Information | |
Registration To | Human Information Processing (HIP) |
---|---|
Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Maximum Likelihood Estimation of the Fundamental Matrix in the Presence of Large Noise |
Sub Title (in English) | |
Keyword(1) | |
1st Author's Name | Kenichi Kanatani |
1st Author's Affiliation | Department of Computer Science, Okayama University() |
2nd Author's Name | Yasuyuki Sugaya |
2nd Author's Affiliation | Department of Information and Computer Sciences, Toyohashi University of Technology |
Date | 2007-09-03 |
Paper # | PRMU2007-56,HIP2007-65 |
Volume (vol) | vol.107 |
Number (no) | 207 |
Page | pp.pp.- |
#Pages | 8 |
Date of Issue |