Automatic Generation of Feature Inventory from 3D Point Cloud
Supervisor: Dr Yonghuai Liu (email@example.com)
3D point clouds can be captured using various devices such as laser range finders and stereo vision systems . However, it is challenging to understand what these point clouds represent. This project intends to understand and create a semantic representation of these data [1, 2 ]. To this end, various techniques  will be developed to segment and cluster the points according to various structural consistency: geometry, function, structure, etc. To facilitate the data understanding, the prior knowledge about the object category and structure may be formalized.
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