DocumentCode
3017685
Title
A Direct and Efficient Method for Piecewise-Planar Surface Reconstruction from Stereo Images
Author
Sugimoto, Shigeki ; Okutomi, Masatoshi
Author_Institution
Tokyo Inst. of Technol., Tokyo
fYear
2007
fDate
17-22 June 2007
Firstpage
1
Lastpage
8
Abstract
In this paper, we propose a direct method for 3D surface reconstruction from stereo images. We reconstruct a 3D surface by estimating all depths of the vertices of a mesh composed of piecewise triangular patches on the reference (template) image. The analyses described in this paper subsume that the deformation of the mesh between the stereo images is specified by homographies, each of which represents the deformation of a single patch. The homography deforms each patch which has 3 d.o.f under epipolar constraints. We first formulate a fast "direct" method for estimating the three parameters of a 3D plane by incorporating inverse compositional expression into the sum of squared differences (SSD) function of two stereo images. This method is about eight times faster than the conventional method. Then we extend the direct method to the estimation of the vertex depths in the mesh for reconstructing piecewise-planar surfaces. The validity of the proposed method is demonstrated through results of experiments using synthetic and real images.
Keywords
computational geometry; image reconstruction; mesh generation; solid modelling; stereo image processing; image homography; mesh deformation; piecewise triangular mesh patches; piecewise-planar 3D surface reconstruction; squared differences function; stereo images; Control engineering; Image reconstruction; Legged locomotion; Navigation; Object oriented modeling; Orbital robotics; Parameter estimation; Robots; Stereo image processing; Surface reconstruction;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on
Conference_Location
Minneapolis, MN
ISSN
1063-6919
Print_ISBN
1-4244-1179-3
Electronic_ISBN
1063-6919
Type
conf
DOI
10.1109/CVPR.2007.383250
Filename
4270275
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