期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2009
卷号：XXXVIII-3/W4
页码：223-228
出版社：Copernicus Publications
摘要：We introduce a new unsupervised segmentation method adapted to describe fac.ade shapes from a single calibrated street level image. The image is first rectified thanks to its vanishing points to facilitate the extraction of fac.ade main structures which are characterized by a horizontal and vertical gradient accumulation which enhances the detection of repetitive structures. Our aim is to build a hierarchy of rectangular regions bounded by the local maxima of the gradient accumulation. The algorithm recursively splits horizontally or vertically the image into two parts by maximizing the total length of regular edges until the radiometric content of the region hypothesis corresponds to a given model (planar and generalized cylinders). A regular edge is a segment of a main gradient direction that effectively matches to a contour of the image. This segmentation could be an interesting tool for fac .ade modelling and is in particular well suited for fac .ade texture compression
关键词：street level imagery; fac ; .ade reconstruction; unsupervised hierarchical segmentation; gradient accumulation; recursive ; split; model matching
