Outdoor Mapping Framework: from Images to 3D Model

作者: Sergiy Skuratovskyi , Ievgen Gorovyi , Vitalii Vovk , Dmytro Sharapov

DOI: 10.1109/SPS.2019.8882019

关键词:

摘要: 3D mapping techniques have a large variety of applications from entertainment to military and medical fields. However, there is big challenge obtaining well refined model set images without usage depth sensors. In the paper, we analyze main components reconstruction pipeline allowing get detailed models outdoor objects drones. particular, experiment with algorithms required for structure motion point cloud densification. It demonstrated, that proper local feature extraction, matching verification directly effect on final quality. Analysis two existing frameworks (MVE COLMAP) conducted. Initial experimental results are shown.

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