Presentation 1998/9/18
Parametric Estimation of Optical Flow
Norio TAGAWA, Akihiro MINAGAWA, Tadashi MORIYA,
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Abstract(in English) Because the detection of optical flow from image sequences is an ill-posed problem essentially, most of the conventional method used smoothness constraint for optical flow heuristically and detected the reasonable optical flow. However, there has been litle argument about the degree of the smoothness. Furthermore, to recover the relative 3-D motion and depth between camera and rigid object, generally at first, the optical flow is detected without the rigid motion constraint, and in the next, the motion and the depth are estimated using the detected optical flow. Properly speaking, hoerver, the optical flow should be detected with such constraint, and consequently the 3-D motion and the depth should be determined.To solve these, in this paper, we apply a parametric model to optical flow, and construct the estimation algorithm based on this model.
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Keyword(in English) optical flow / parametric estimation / 3-D motion / 3-D structure / ML estimation / EM algorithm
Paper # PRMU98-88
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Conference Information
Committee PRMU
Conference Date 1998/9/18(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) Parametric Estimation of Optical Flow
Sub Title (in English)
Keyword(1) optical flow
Keyword(2) parametric estimation
Keyword(3) 3-D motion
Keyword(4) 3-D structure
Keyword(5) ML estimation
Keyword(6) EM algorithm
1st Author's Name Norio TAGAWA
1st Author's Affiliation Graduate School of Engineering, Tokyo Metropolitan University()
2nd Author's Name Akihiro MINAGAWA
2nd Author's Affiliation Graduate School of Engineering, Tokyo Metropolitan University
3rd Author's Name Tadashi MORIYA
3rd Author's Affiliation Graduate School of Engineering, Tokyo Metropolitan University
Date 1998/9/18
Paper # PRMU98-88
Volume (vol) vol.98
Number (no) 275
Page pp.pp.-
#Pages 8
Date of Issue