Presentation 1996/5/17
Numerical 3-D Shape Inference from Shading with Gradient of Image Brightness
Tadayoshi SHIOYAMA, Wen Biao JIANG,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In traditional 3-D shape inference from shading, surface norm distribution is estimated by using a traditional constraint imposed on surface norm and image brightness. In this paper, we derive another new type of constraint imposed on surface norm and gradient of image brightness, and propose 3-D shape inference algorithm by using both the traditional constraint and the new type of constraint. We prove that the rate of convergence of the algorithm becomes faster by using the new type of constraint in additon to the traditional constraint. The usefulness of the new type of constraint is shown by numerical experiments.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) 3-Dimensional Shape / Brightness / Convergence / Iterative Algorithm / Gradient of Brightness
Paper # PRMU96-24
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Conference Information
Committee PRMU
Conference Date 1996/5/17(1days)
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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) Numerical 3-D Shape Inference from Shading with Gradient of Image Brightness
Sub Title (in English)
Keyword(1) 3-Dimensional Shape
Keyword(2) Brightness
Keyword(3) Convergence
Keyword(4) Iterative Algorithm
Keyword(5) Gradient of Brightness
1st Author's Name Tadayoshi SHIOYAMA
1st Author's Affiliation Kyoto Institute of Technology()
2nd Author's Name Wen Biao JIANG
2nd Author's Affiliation Kyoto Institute of Technology
Date 1996/5/17
Paper # PRMU96-24
Volume (vol) vol.96
Number (no) 41
Page pp.pp.-
#Pages 8
Date of Issue