CBHE: Corner-based building height estimation for complex street scene images
Y Zhao, J Qi, R Zhang, Ling Liu (ed.), Ryen White (ed.)
ACM | Published : 2019
Building height estimation is important in many applications such as 3D city reconstruction, urban planning, and navigation. Recently, a new building height estimation method using street scene images and 2D maps was proposed. This method is more scalable than traditional methods that use high-resolution optical data, LiDAR data, or RADAR data which are expensive to obtain. The method needs to detect building rooflines and then compute building height via the pinhole camera model. We observe that this method has limitations in handling complex street scene images in which buildings overlap with each other and the rooflines are difficult to locate. We propose CBHE, a building height estimatio..View full abstract
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Awarded by Australian Research Council
We thank the anonymous reviewers for their feedback. We appreciate the valuable discussion with Bayu Distiawan Trsedya, Weihao Chen, and Jungmin Son. Yunxiang Zhao is supported by the Chinese Scholarship Council (CSC). This work is supported by Australian Research Council (ARC) Discovery Project DP180102050, Google Faculty Research Award, and the National Science Foundation of China (Project No. 61402155).