NDLI: Improved 3D head reconstruction system based on combining shape-from-silhouette with two-stage stereo algorithm

Content Provider	IEEE Xplore Digital Library
Author	Fujimura, K. Oue, Y. Terauchi, T.
Copyright Year	2004
Description	Author affiliation: Digital Syst. Dev. Center, Sanyo Electr. Co. Ltd., Tokyo, Japan (Fujimura, K.; Oue, Y.; Terauchi, T.)
Abstract	In this paper, we present a quality improvement algorithm for the system, which models a human head. We have already proposed and applied the hybrid algorithm combining shape-from-silhouette with active stereo to our product of 3D head reconstruction system. Our system is characterized by the ability of the reconstruction of the whole shape and texture of the human head, even the black hair parts, while other existing systems cannot do it. Feature-based stereo algorithm adopted into our current system is the fast and robust approach. However, the depth data may be sparse and the accuracy depends on how accurate the edge detection is. On the other hand, area-based stereo algorithms generally provide dense depth data and can apply subpixel estimation, but it is comparatively time-consuming and may be inaccurate influenced by the difference of how to reflect the object in each image. To overcome these problems for improving our system practicably, we propose a novel two-stage stereo algorithm. In our algorithm, first, we adopt feature-based approach to get the depth data robustly. Next, an interpolation of the depth data is performed to predict the depth data at the unestimated pixels on the edge. Finally, applying area-based approach and subpixel estimation refine the depth data. In this paper, we describe our hybrid modeling algorithm and two-stage stereo algorithm with some experimental results.
Starting Page	127
Ending Page	130
File Size	558778
Page Count	4
File Format	PDF
ISBN	0769521282
ISSN	10514651
DOI	10.1109/ICPR.2004.1334485
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-08-26
Publisher Place	UK
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Head Stereo vision Image reconstruction Humans Shape Robustness Stereo image processing Hair Image edge detection Interpolation
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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