Multiview Visibility Estimation for Image-Based Modeling

In this paper, we investigate the problem of determining regions in 3D scene visible to some given viewpoints when obstacles are present in the scene. We assume that the obstacles are composed of some opaque objects with closed surfaces. The problem is formulated in an implicit framework where the o...

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Bibliographic Details
Published inJournal of computer science and technology Vol. 26; no. 6; pp. 1000 - 1010
Main Author 张柳新 裴明涛 贾云得
Format Journal Article
LanguageEnglish
Published Boston Springer US 01.11.2011
Springer Nature B.V
Beijing Laboratory of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology Beijing 100081, China
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ISSN1000-9000
1860-4749
DOI10.1007/s11390-011-1196-6

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Summary:In this paper, we investigate the problem of determining regions in 3D scene visible to some given viewpoints when obstacles are present in the scene. We assume that the obstacles are composed of some opaque objects with closed surfaces. The problem is formulated in an implicit framework where the obstacles are represented by a level set function. The visible and invisible regions of the given viewpoints are determined through an efficient implicit ray tracing technique. As an extension of our approach, we apply the multiview visibility estimation to an image-based modeling technique. The unknown scene geometry and multiview visibility information are incorporated into a variational energy functional. By minimizing the energy functional, the true scene geometry as well as the accurate visibility information of the multiple views can be recovered from a number of scene images. This makes it feasible to handle the visibility problem of multiple views by our approach when the true scene geometry is unknown.
Bibliography:visibility estimation, image-based modeling, multiple views, level set, implicit surface
In this paper, we investigate the problem of determining regions in 3D scene visible to some given viewpoints when obstacles are present in the scene. We assume that the obstacles are composed of some opaque objects with closed surfaces. The problem is formulated in an implicit framework where the obstacles are represented by a level set function. The visible and invisible regions of the given viewpoints are determined through an efficient implicit ray tracing technique. As an extension of our approach, we apply the multiview visibility estimation to an image-based modeling technique. The unknown scene geometry and multiview visibility information are incorporated into a variational energy functional. By minimizing the energy functional, the true scene geometry as well as the accurate visibility information of the multiple views can be recovered from a number of scene images. This makes it feasible to handle the visibility problem of multiple views by our approach when the true scene geometry is unknown.
Liu-Xin Zhang Ming-Tao Pei Yun-De JiaBeijing Laboratory of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology Beijing 100081, China
11-2296/TP
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ISSN:1000-9000
1860-4749
DOI:10.1007/s11390-011-1196-6