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Authors: Kousuke Wakabayashi ; Norio Tagawa and Kan Okubo

Affiliation: Tokyo Metropolitan University, Japan

ISBN: 978-989-8565-48-8

Keyword(s): Image Generation Consistency, Unification of Shape from X, Shape from Multi-view Images.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Geometry and Modeling ; Image-Based Modeling ; Motion, Tracking and Stereo Vision ; Pattern Recognition ; Robotics ; Software Engineering ; Stereo Vision and Structure from Motion

Abstract: There are various and a lot of depth recovery methods have been studied, but a discussion about an unification of individual methods is expected not to be enough yet. In this study, we argue that the importance and the necessity of an image generation consistency. Various clues including binocular disparity, motion parallax, texture, shading and so on can be effectively used for depth recovery for the case where each or some of those are completely performed. However, in general, those clues without shading cause ideal and simplified constraints, and for several cases those clues without shading are suitable for obtaining initial depth values for the unification algorithm based on an image generation consistency. On the other hand, shading indicates a strict characteristics for image generation and should be used for the key principle for the unification. Based on the above strategy, as a first step of our scheme, through a simple problem with two-views, the unification of binocular d isparity and shading without explicit disparity detection is examined based on an image generation consistency, and simple evaluation results are shown by simulations. (More)

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Paper citation in several formats:
Wakabayashi, K.; Tagawa, N. and Okubo, K. (2013). Shape from Multi-view Images based on Image Generation Consistency.In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013) ISBN 978-989-8565-48-8, pages 334-340. DOI: 10.5220/0004345203340340

@conference{visapp13,
author={Kousuke Wakabayashi. and Norio Tagawa. and Kan Okubo.},
title={Shape from Multi-view Images based on Image Generation Consistency},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013)},
year={2013},
pages={334-340},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004345203340340},
isbn={978-989-8565-48-8},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013)
TI - Shape from Multi-view Images based on Image Generation Consistency
SN - 978-989-8565-48-8
AU - Wakabayashi, K.
AU - Tagawa, N.
AU - Okubo, K.
PY - 2013
SP - 334
EP - 340
DO - 10.5220/0004345203340340

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