Inverse Volume Rendering Approach to 3D Reconstruction from Multiple Image

Shuntaro Yamazaki, Masaaki Mochimaru, and Takeo Kanade
Proceedings of the 7th Asian Conference on Computer Vision, Part I (Lecture Notes in Computer Science), January, 2006.


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Abstract
This paper presents a method of image-based 3D modeling for intricately-shaped objects, such as a fur, tree leaves and human hair. We formu- late the imaging process of these small geometric structures as volume rendering followed by image matting, and prove that the inverse problem can be solved by reducing the nonlinear equations to a large linear system. This estimation, which we call inverse volume rendering, can be performed efficiently through expec- tation maximization method, even when the linear system is under-constrained owing to data sparseness. We reconstruct object shape by a set of coarse vox- els that can model the spatial occupancy inside each voxel. Experimental results show that intricately-shaped objects can successfully be modeled by our proposed method, and the original and other novel view-images of the objects can be syn- thesized by forward volume rendering.

Notes
Associated Center(s) / Consortia: Vision and Autonomous Systems Center
Number of pages: 10

Text Reference
Shuntaro Yamazaki, Masaaki Mochimaru, and Takeo Kanade, "Inverse Volume Rendering Approach to 3D Reconstruction from Multiple Image," Proceedings of the 7th Asian Conference on Computer Vision, Part I (Lecture Notes in Computer Science), January, 2006.

BibTeX Reference
@inproceedings{Yamazaki_2006_5369,
   author = "Shuntaro Yamazaki and Masaaki Mochimaru and Takeo Kanade",
   title = "Inverse Volume Rendering Approach to 3D Reconstruction from Multiple Image",
   booktitle = "Proceedings of the 7th Asian Conference on Computer Vision, Part I (Lecture Notes in Computer Science)",
   month = "January",
   year = "2006",
   volume = "3851",
}