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Proceedings Paper

Novel depth extraction algorithm incorporating a lens array and a camera by reassembling pixel columns of elemental images
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Paper Abstract

Stereo matching is a method to obtain the depth information from images and is one of the most important issues in the field of machine vision. Contrary to the conventional stereo matching algorithms that involve two or more wellcalibrated cameras, the depth extraction scheme using a lens array is compact and requires no calibration since only one camera is involved in its setup. In this paper, we present a novel depth extraction algorithm using a lens array. The proposed method rearranges horizontal positions of the pixels from the collection of the elemental images to form subimages horizontally leaving the vertical positions of the pixels unchanged. On this rearranged images, we apply a correlation-based multiple-baseline stereo algorithm in properly modified form. The main feature of the proposed method is its ability of exact depth extraction from the extremely periodically patterned object scenes. Additionally, the proposed method enlarges the available depth range due to the reverse dependency of the disparity on the depth between the elemental image and the sub-image. We prove our idea by applying our method on the object scene generated by a computer. The simulation result shows the proposed method extracts precise depth information from the scene of the object with a periodic texture pattern.

Paper Details

Date Published: 16 September 2002
PDF: 10 pages
Proc. SPIE 4929, Optical Information Processing Technology, (16 September 2002); doi: 10.1117/12.483230
Show Author Affiliations
Jae-Hyeung Park, Seoul National Univ. (South Korea)
Sungyong Jung, Seoul National Univ. (South Korea)
Heejin Choi, Seoul National Univ. (South Korea)
Byoungho Lee, Seoul National Univ. (South Korea)


Published in SPIE Proceedings Vol. 4929:
Optical Information Processing Technology
Guoguang Mu; Francis T. S. Yu; Suganda Jutamulia, Editor(s)

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