Detecting planar patches in urban scenes

Frank Fuchs; Herve Le Men

doi:10.1117/12.354704

21 July 1999 Detecting planar patches in urban scenes

Frank Fuchs, Herve Le Men

Proceedings Volume 3716, Visual Information Processing VIII; (1999) https://doi.org/10.1117/12.354704
Event: AeroSense '99, 1999, Orlando, FL, United States

Abstract

In this paper, a new criterion based on the Minimum Description Length (MDL) principle is proposed to guide a region growing procedure. Since the MDL principle is known to realize the compromise between complexity of modeling and adequacy to the data in a homogeneous way, it is well suited for detecting cartographic objects in aerial images, because their representation has to be simple and realistic. The procedure is dedicated to segment disparity maps or Digital Evaluation Models into planar regions, and so detect 3D planar patches in the scenes. The principle is shown to be able to introduce constraints on the segmentation. By making one term of the Description Length vary, different levels of representation of the scene are obtained. This makes it possible to get concurrent 3D planar hypotheses. The procedure is applied on disparity maps or on digital elevation models computed on gray level aerial high resolution stereo pairs, in urban context. On these data, those roofs and visible facades are extracted by the procedure.

Citation Download Citation

Frank Fuchs and Herve Le Men "Detecting planar patches in urban scenes", Proc. SPIE 3716, Visual Information Processing VIII, (21 July 1999); https://doi.org/10.1117/12.354704

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