Automating 3D reconstruction using a probabilistic grammar

作者：Xiong Hanwei^*; Xu Jun; Xu Chenxi; Pan Ming

来源：Conference on Applied Optics and Photonics (AOPC) - Image Processing and Analysis, 2015-05-05 To 2015-05-07.

DOI：10.1117/12.2202966

• 3D reconstruction
• 3D point clouds parse
• probabilistic grammar
• supervised learning

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.

• 出版日期2015
• 单位广东工业大学