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Jan Boehm's research focuses on photogrammetry, image understanding and robotics. With his background in Computer Science he wants to bridge the remaining gap between photogrammetry and computer vision. The latter provides key components to increased productivity in the geomatic processing pipeline. In past projects he already successfully leveraged the productivity in terrestrial laser scanning by introducing automation to georeferencing by direct georeferencing, automated registration using intensity features and automated modelling strategies.
Jan Boehm's research focuses on photogrammetry, image understanding and robotics. With his background in Computer Science he wants to bridge the remaining gap between photogrammetry and computer vision. The latter provides key components to increased productivity in the geomatic processing pipeline. In past projects he already successfully leveraged the productivity in terrestrial laser scanning by introducing automation to georeferencing by direct georeferencing, automated registration using intensity features and automated modelling strategies.
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论文共 77 篇作者统计合作学者相似作者
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arxiv(2024)
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arxiv(2024)
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GISciencepp.44:1-44:7, (2023)
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R. Z. M. Yuen,J. Boehm
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciencesno. W1 (2022): 243-250
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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (2021): 223-229
arxiv(2021)
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