Multiview Visibility Estimation for Image-Based Modeling |
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Authors: | Liu-Xin Zhang Ming-Tao Pei Yun-De Jia |
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Affiliation: | (1) Beijing Laboratory of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, Beijing, 100081, China |
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Abstract: | 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. |
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Keywords: | |
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