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Volume 26 Issue 6
November  2011
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Liu-Xin Zhang, Ming-Tao Pei, Yun-De Jia. Multiview Visibility Estimation for Image-Based Modeling[J]. Journal of Computer Science and Technology, 2011, 26(6): 1000-1010. DOI: 10.1007/s11390-011-1196-6
Citation: Liu-Xin Zhang, Ming-Tao Pei, Yun-De Jia. Multiview Visibility Estimation for Image-Based Modeling[J]. Journal of Computer Science and Technology, 2011, 26(6): 1000-1010. DOI: 10.1007/s11390-011-1196-6
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Multiview Visibility Estimation for Image-Based Modeling

  • Beijing Laboratory of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology Beijing 100081, China

Funds: This work was partially supported by the National Natural Science Foundation of China under Grant No. 90920009 and the National High-Tech Research and Development 863 Program of China under Grant No. 2009AA01Z323.
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  • Author Bio:

    Liu-Xin Zhang received the Ph.D. degree in computer science from Beijing Institute of Technology in 2010. His research interests in-clude computer vision, human com-puter interaction and intelligent sys-tems. He is a member of China Com-puter Federation.

    Ming-Tao Pei received the Ph.D. degree in computer science from Beijing Institute of Technology in 2004, and served as an associate professor in the School of Computer Science of Beijing Institute of Tech-nology. He was a visiting scholar at the Center of Image and Vision Sci-ence at UCLA from 2009 to 2011. His main research interest is com-puter vision with emphasis on event recognition and ma-chine learning. He is a member of China Computer Fede-ration.

    Yun-De Jia received the Ph.D. degree in mechatronics from Beijing Institute of Technology in 2000. He is currently a professor of computer science, Beijing Institute of Techno-logy. His research interests include computer vision, media computing, human computer interaction and in-telligent systems.

  • Received Date: April 01, 2010
  • Revised Date: May 10, 2011
  • Published Date: November 04, 2011
    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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    • References (28)
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