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
Link To Document :
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