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Segmentation of Building Models From Dense 3D Point-Clouds

Authors Bauer Joachim, Karner Konrad, Schindler K., Klaus Andreas, Zach Christopher
Appeared in

27th Workshop of the Austrian Association for Pattern Recognition 2003, Laxenburg

Date  2003
Abstract

This paper proposes an approach for the detection and partition of planar structures in dense 3D point clouds from facades. The aim is the creation of a polygonal model with a considerably lower complexity than the original data set. We perform a robust detection of the dominant facade planes and apply a sweep based scheme in order to detect structures like windows, doors, balconies in those planes.

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