Multi-viewpoint Silhouette Extraction with 3D Context-aware Error Detection, Correction, and Shadow Suppression
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- Nobuhara Shohei
- Kyoto University
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- Tsuda Yoshiyuki
- Kyoto University
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- Ohama Iku
- Kyoto University
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- Matsuyama Takashi
- Kyoto University
Abstract
This paper presents a novel approach for simultaneous silhouette extraction from multi-viewpoint images. The main contribution of this paper is a new algorithm for 1) 3D context aware error detection and correction of 2D multi-viewpoint silhouette extraction and 2) 3D context aware classification of cast shadow regions. Our method takes both monocular image segmentation and background subtraction of each viewpoint as its inputs, but does not assume they are correct. Inaccurate segmentation and background subtraction are corrected through our iterative method based on inter-viewpoint checking. Some experiments quantitatively demonstrate advantages against previous approaches.
Journal
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- Information and Media Technologies
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Information and Media Technologies 4 (4), 1010-1027, 2009
Information and Media Technologies Editorial Board
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Details
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- CRID
- 1390282680240878976
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- NII Article ID
- 130000140302
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- ISSN
- 18810896
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- Text Lang
- en
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- Data Source
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- JaLC
- CiNii Articles
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- Abstract License Flag
- Disallowed