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8 October 2015 Automating 3D reconstruction using a probabilistic grammar
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Proceedings Volume 9675, AOPC 2015: Image Processing and Analysis; 967531 (2015) https://doi.org/10.1117/12.2202966
Event: Applied Optics and Photonics China (AOPC2015), 2015, Beijing, China
Abstract
3D reconstruction of objects from point clouds with a laser scanner is still a laborious task in many applications. Automating 3D process is an ongoing research topic and suffers from the complex structure of the data. The main difficulty is due to lack of knowledge of real world objects structure. In this paper, we accumulate such structure knowledge by a probabilistic grammar learned from examples in the same category. The rules of the grammar capture compositional structures at different levels, and a feature dependent probability function is attached for every rule. The learned grammar can be used to parse new 3D point clouds, organize segment patches in a hierarchal way, and assign them meaningful labels. The parsed semantics can be used to guide the reconstruction algorithms automatically. Some examples are given to explain the method.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hanwei Xiong, Jun Xu, Chenxi Xu, and Ming Pan "Automating 3D reconstruction using a probabilistic grammar", Proc. SPIE 9675, AOPC 2015: Image Processing and Analysis, 967531 (8 October 2015); https://doi.org/10.1117/12.2202966
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