Rectilinear parsing of architecture in urban environment

We propose an approach that parses registered images captured at ground level into architectural units for large-scale city modeling. Each parsed unit has a regularized shape, which can be used for further modeling purposes. In our approach, we first parse the environment into buildings, the ground, and the sky using a joint 2D-3D segmentation method. Then, we partition buildings into individual fac

• Type: Journal
• Year: 2010
• Where: CVPR
• Authors: Peng Zhao, Tian Fang, Jianxiong Xiao, Honghui Zhang, Qinping Zhao, Long Quan
• Keywords: Computer Vision, CVPR 2010, Floor Line, Large-scale City, Roof Line