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Proceedings Paper

A semi-automatic multi-view depth estimation method
Author(s): Meindert Onno Wildeboer; Norishige Fukushima; Tomohiro Yendo; Mehrdad Panahpour Tehrani; Toshiaki Fujii; Masayuki Tanimoto
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Paper Abstract

In this paper, we propose a semi-automatic depth estimation algorithm whereby the user defines object depth boundaries and disparity initialization. Automatic depth estimation methods generally have difficulty to obtain good depth results around object edges and in areas with low texture. The goal of our method is to improve the depth in these areas and reduce view synthesis artifacts in Depth Image Based Rendering. Good view synthesis quality is very important in applications such as 3DTV and Free-viewpoint Television (FTV). In our proposed method, initial disparity values for smooth areas can be input through a so-called manual disparity map, and depth boundaries are defined by a manually created edge map which can be supplied for one or multiple frames. For evaluation we used MPEG multi-view videos and we demonstrate our algorithm can significantly improve the depth maps and reduce view synthesis artifacts.

Paper Details

Date Published: 4 August 2010
PDF: 8 pages
Proc. SPIE 7744, Visual Communications and Image Processing 2010, 77442B (4 August 2010); doi: 10.1117/12.863355
Show Author Affiliations
Meindert Onno Wildeboer, Nagoya Univ. (Japan)
Norishige Fukushima, Nagoya Institute of Technology (Japan)
Tomohiro Yendo, Nagoya Univ. (Japan)
Mehrdad Panahpour Tehrani, Nagoya Univ. (Japan)
Toshiaki Fujii, Tokyo Institute of Technology (Japan)
Masayuki Tanimoto, Nagoya Univ. (Japan)

Published in SPIE Proceedings Vol. 7744:
Visual Communications and Image Processing 2010
Pascal Frossard; Houqiang Li; Feng Wu; Bernd Girod; Shipeng Li; Guo Wei, Editor(s)

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