Disparity space and dynamic programming for automatic production of very dense range maps

Richard Baldwin; Hiromitsu Yamada; Kazuhiko Yamamoto

doi:10.1117/12.2294272

1 August 1990 Disparity space and dynamic programming for automatic production of very dense range maps

Richard Baldwin, Hiromitsu Yamada, Kazuhiko Yamamoto

Proceedings Volume 1395, Close-Range Photogrammetry Meets Machine Vision; 13950T (1990) https://doi.org/10.1117/12.2294272
Event: Close-Range Photogrammetry Meets Machine Vision, 1990, Zurich, Switzerland

Abstract

This paper describes the use of Disparity Space for automatic stereomatching, differential rectification and DEM production. Any matching technique which produces local (potentially ambiguous) matches can be incorporated within the Disparity Space system. A fast, optimal solution is obtained using Dynamic Programming. We have combined image intensity, local edge magnitude, local edge orientation and the output from a Laplacian of Gaussian to obtain very dense range maps. Experimental results with close range images are reported. The method has been implemented on a UNIX Workstation and is highly suitable for implementation with parallel processors.

Citation Download Citation

Richard Baldwin, Hiromitsu Yamada, and Kazuhiko Yamamoto "Disparity space and dynamic programming for automatic production of very dense range maps", Proc. SPIE 1395, Close-Range Photogrammetry Meets Machine Vision, 13950T (1 August 1990); https://doi.org/10.1117/12.2294272

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