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JACIII Vol.13 No.4 pp. 393-399
doi: 10.20965/jaciii.2009.p0393
(2009)

Paper:

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A 3D Pseudo-Reconstruction from Single ImageBased on Vanishing Point

Jingjing Wang*, Fangyan Dong*, Takashi Takegami**, Eiroku Go**, and Kaoru Hirota*

*Dept. of Computational Intelligence and Systems Science, Tokyo Institute of Technology, G3-49, 4259 Nagatsuta, Midori-ku, Yokohama-city 226-8502, Japan

**Customer Solutions Development Co., Ltd., 6F, West Wing, KSP BLDG, 3-2-1 Sakado, Takatsu-ku, Kawasaki-city, 213-0012, Japan

Received:
November 25, 2008
Accepted:
March 10, 2009
Published:
July 20, 2009
Creative Commons License
Keywords:
3D reconstruction, single image, vanishing point
Abstract
A 3D (three-dimensional) pseudo-reconstruction method from a single image is presented as a novel approach reconstructing a 3D model with no prior internal knowledge of outdoors image. In the proposed method, an image is represented as a collection of sky layer, ground layer, and object layer. A visual radical coordinate system with vanishing point is established to accommodate the extracted 3D data from images. Learning method is done via the layers database. The experiment results show that the visually acceptable 3D model can be extracted less than one minute. That means a higher resolution in much shorter time, compared to conventional methods. This method can be applied to computer games, industrial measurement, archeology, architecture and visual realities.
Cite this article as:
J. Wang, F. Dong, T. Takegami, E. Go, and K. Hirota, “A 3D Pseudo-Reconstruction from Single ImageBased on Vanishing Point,” J. Adv. Comput. Intell. Intell. Inform., Vol.13 No.4, pp. 393-399, 2009.
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