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High Resolution Surface Reconstruction from Multi-view Aerial Imagery
2012
2012 Second International Conference on 3D Imaging, Modeling, Processing, Visualization & Transmission
This paper presents a novel framework for surface reconstruction from multi-view aerial imagery of large scale urban scenes, which combines probabilistic volumetric modeling with smooth signed distance surface estimation, to produce very detailed and accurate surfaces. Using a continuous probabilistic volumetric model which allows for explicit representation of ambiguities caused by moving objects, reflective surfaces, areas of constant appearance, and self-occlusions, the algorithm learns the
doi:10.1109/3dimpvt.2012.54
dblp:conf/3dim/CalakliURTM12
fatcat:cdtv4et65jf4bettmnna63vke4