Efficient Line Matching by Image Sequential Analysis for Urban Area Modelling

3D city modelling from airborne imagery includes mainly two parts: (1) image processing procedures and (2) 3D modelling for manmade objects such as buildings, roads and other objects. Line extraction and stereo matching are usually utilized as an image processing procedures. However, there are some issues for automatic man-made object modelling. In particular, spatial data acquisition of buildings are important for reliable city modelling. With this objective, this paper focuses especially on efficient line matching method using optical flow and trifocal tensor. Furthermore, line matching in general stereo matching methods were also investigated, and performance of the proposal line matching method was compared with these general methods in this paper.