Extraction of 3D Line Segment Using Disparity Map

Abstract

3D line segment can be regarded as one of the most useful features in constructing 3D model. In this context, this paper presents anew 3D line segment extraction method by using disparity map generated in the process of stereo matching. The core of our technique is that feature matching is carried out by the reference of the disparity evaluated by area-based stereo. Since the reference of the disparity can significantly reduce the number of feature matching combinations, feature matching error can be drastically minimized. One requirement of the disparity to be referenced is that it should be reliable to be used in feature matching. To measure the reliability of the disparity, in this paper, we employ the self-consistency of the disparity. Our suggested technique misapplied to the detection of 3D line segments by 2D line matching using our hybrid stereo matching, which can be efficiently utilized in the generation of the rooftop model from urban images.Since occlusions are occurred around the outlines of buildings, we use multi-image stereo scheme by fusing 3D line segments extracted from several pairs of stereo images. The suggested method misevaluated on Avenches data set of Ascona aerial images.Experimental results indicate that the extracted 3D line segments have an average error of 0.5m and can be efficiently used to the construction of 3D site models using a simple 3D line grouping.