Automatic hierarchical registration of aerial and terrestrial image-based point clouds
| Autor: | Mohammad Javad Valadan Zoej, Amin Baghani, Mehdi Mokhtarzade |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Atmospheric Science
010504 meteorology & atmospheric sciences tilt removal Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 0211 other engineering and technologies Point cloud 02 engineering and technology 01 natural sciences Image (mathematics) lcsh:Oceanography registration façade extraction Computer vision lcsh:GC1-1581 Computers in Earth Sciences 021101 geological & geomatics engineering 0105 earth and related environmental sciences General Environmental Science business.industry Applied Mathematics lcsh:QE1-996.5 lcsh:Geology image-based point cloud Aerial point cloud Artificial intelligence business terrestrial point cloud Image based |
| Zdroj: | European Journal of Remote Sensing, Vol 51, Iss 1, Pp 436-456 (2018) |
| ISSN: | 2279-7254 |
| DOI: | 10.1080/22797254.2018.1444946 |
| Popis: | Point cloud registration has been a major research challenge in recent years. In this paper, a novel hierarchical method is proposed for registering Aerial and Terrestrial image-based Point Clouds (APC & TPC). This registration aims to yield a complete and dense coverage on both top and side faces in urban areas. The main challenges, however, arise from their heterogeneous views and very low overlap as well as the high discrepancies in scale and three-dimensional rotations between the World Coordinate System (WCS) of APC and the Camera Coordinate System (CCS) of TPC. The proposed method begins by an innovative TPC-sufficient method to solve two rotations of TPC around x- and y-axis. After that, in horizontal registration phase, 2D façade lines were extracted from both datasets; and accordingly a novel polar parameterised mathematical model was extended for simultaneous robust matching and parameter estimation. Finally, vertical registration was done through calculating the dominant vertical shift between the points of the ground planes extracted from both datasets. The evaluation results in two different modes, which were conducted on two different urban datasets, showed the efficiency of the proposed method (RMSE error of 0.12 m/0.10 m in horizontal/vertical direction). |
| Databáze: | OpenAIRE |
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