Fast disparity estimation algorithm using the property of stereo matching

Jiyong Park; Wonjae Lee; Jaeseok Kim

doi:10.1117/1.1925049

Fast disparity estimation algorithm using the property of stereo matching

Jiyong Park, Wonjae Lee, Jaeseok Kim

Department of Electrical and Electronic Engineering

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

Abstract

A fast disparity estimation algorithm based on a pixel-based approach for intermediate view reconstruction (IVR) is proposed. The proposed algorithm uses the matching property of stereo imaging: in stereo images, the disparity vector of a pixel is located between those of previous and subsequent pixels. According to the experiments, the proposed algorithm can reduce the computational complexity by about 8 times and achieves competitive or slightly better peak signal-to-noise ratio (PSNR) in comparison with the pixel-based full search approach. The algorithm is proven to be effective in the implementation of the real-time disparity, estimation processor for arbitrary 720×480 stereo images.

Original language	English
Pages (from-to)	1-2
Number of pages	2
Journal	Optical Engineering
Volume	44
Issue number	6
DOIs	https://doi.org/10.1117/1.1925049
Publication status	Published - 2005 Jun

Bibliographical note

Funding Information:
This research was supported by University IT Research Center Project and partly by the Digital Media R&D Center, Samsung Electronic Co., Ltd.

All Science Journal Classification (ASJC) codes

Atomic and Molecular Physics, and Optics
Engineering(all)

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10.1117/1.1925049

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abstract = "A fast disparity estimation algorithm based on a pixel-based approach for intermediate view reconstruction (IVR) is proposed. The proposed algorithm uses the matching property of stereo imaging: in stereo images, the disparity vector of a pixel is located between those of previous and subsequent pixels. According to the experiments, the proposed algorithm can reduce the computational complexity by about 8 times and achieves competitive or slightly better peak signal-to-noise ratio (PSNR) in comparison with the pixel-based full search approach. The algorithm is proven to be effective in the implementation of the real-time disparity, estimation processor for arbitrary 720×480 stereo images.",

author = "Jiyong Park and Wonjae Lee and Jaeseok Kim",

note = "Funding Information: This research was supported by University IT Research Center Project and partly by the Digital Media R&D Center, Samsung Electronic Co., Ltd.",

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AB - A fast disparity estimation algorithm based on a pixel-based approach for intermediate view reconstruction (IVR) is proposed. The proposed algorithm uses the matching property of stereo imaging: in stereo images, the disparity vector of a pixel is located between those of previous and subsequent pixels. According to the experiments, the proposed algorithm can reduce the computational complexity by about 8 times and achieves competitive or slightly better peak signal-to-noise ratio (PSNR) in comparison with the pixel-based full search approach. The algorithm is proven to be effective in the implementation of the real-time disparity, estimation processor for arbitrary 720×480 stereo images.

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Fast disparity estimation algorithm using the property of stereo matching

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

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