Real-time stereo by using dynamic programming

Sven Forstmann; Yutaka Kanou; Jun Ohya; Sven Thuering; Alfred Schmitt

doi:10.1109/CVPR.2004.428

Real-time stereo by using dynamic programming

Sven Forstmann, Yutaka Kanou, Jun Ohya, Sven Thuering, Alfred Schmitt

School of Creative Science and Engineering

Research output: Contribution to journal › Conference article › peer-review

111 Citations (Scopus)

Abstract

A Dynamic Programming (DP) based algorithm that achieves real-time, high quality stereo-matching is presented. A special coarse to fine approach as well as the MMX based assembler implementation mainly contribute to the reached computation speed. A novel vertical smoothing approach by re-integrating paths inside the DP matching allows the avoidance of noisy horizontal strokes, so that high quality stereo-matching is achieved. The current implementation capable of running at about 30 FPS on an 2.2GHz PC, which is sufficient for the utilization in real-time applications.

Original language	English
Article number	1384820
Journal	IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
Volume	2004-January
Issue number	January
DOIs	https://doi.org/10.1109/CVPR.2004.428
Publication status	Published - 2004
Event	2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2004 - Washington, United States Duration: 2004 Jun 27 → 2004 Jul 2

ASJC Scopus subject areas

Computer Vision and Pattern Recognition
Electrical and Electronic Engineering

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10.1109/CVPR.2004.428

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title = "Real-time stereo by using dynamic programming",

abstract = "A Dynamic Programming (DP) based algorithm that achieves real-time, high quality stereo-matching is presented. A special coarse to fine approach as well as the MMX based assembler implementation mainly contribute to the reached computation speed. A novel vertical smoothing approach by re-integrating paths inside the DP matching allows the avoidance of noisy horizontal strokes, so that high quality stereo-matching is achieved. The current implementation capable of running at about 30 FPS on an 2.2GHz PC, which is sufficient for the utilization in real-time applications.",

author = "Sven Forstmann and Yutaka Kanou and Jun Ohya and Sven Thuering and Alfred Schmitt",

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AU - Kanou, Yutaka

AU - Ohya, Jun

AU - Thuering, Sven

AU - Schmitt, Alfred

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Y1 - 2004

N2 - A Dynamic Programming (DP) based algorithm that achieves real-time, high quality stereo-matching is presented. A special coarse to fine approach as well as the MMX based assembler implementation mainly contribute to the reached computation speed. A novel vertical smoothing approach by re-integrating paths inside the DP matching allows the avoidance of noisy horizontal strokes, so that high quality stereo-matching is achieved. The current implementation capable of running at about 30 FPS on an 2.2GHz PC, which is sufficient for the utilization in real-time applications.

AB - A Dynamic Programming (DP) based algorithm that achieves real-time, high quality stereo-matching is presented. A special coarse to fine approach as well as the MMX based assembler implementation mainly contribute to the reached computation speed. A novel vertical smoothing approach by re-integrating paths inside the DP matching allows the avoidance of noisy horizontal strokes, so that high quality stereo-matching is achieved. The current implementation capable of running at about 30 FPS on an 2.2GHz PC, which is sufficient for the utilization in real-time applications.

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JF - IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops

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T2 - 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2004

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Real-time stereo by using dynamic programming

Abstract

ASJC Scopus subject areas

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