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Optimized shape semantic graph representation for object understanding and recognition in point clouds
Dec 16, 2016Author：
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Title: Optimized shape semantic graph representation for object understanding and recognition in point clouds
Authors: Ning, XJ; Wang, YH; Meng, WL; Zhang, XP
Author Full Names: Ning, Xiaojuan; Wang, Yinghui; Meng, Weiliang; Zhang, Xiaopeng
Source: OPTICAL ENGINEERING, 55 (10):10.1117/1.OE.55.10.103111 OCT 2016
Language: English
Abstract: To understand and recognize the three-dimensional (3-D) objects represented as point cloud data, we use an optimized shape semantic graph (SSG) to describe 3-D objects. Based on the decomposed components of an object, the boundary surface of different components and the topology of components, the SSG gives a semantic description that is consistent with human vision perception. The similarity measurement of the SSG for different objects is effective for distinguishing the type of object and finding the most similar one. Experiments using a shape database show that the SSG is valuable for capturing the components of the objects and the corresponding relations between them. The SSG is not only suitable for an object without any loops but also appropriate for an object with loops to represent the shape and the topology. Moreover, a two-step progressive similarity measurement strategy is proposed to effectively improve the recognition rate in the shape database containing point-sample data. (C) The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License.
ISSN: 0091-3286
eISSN: 1560-2303
Article Number: 103111
IDS Number: EC6GB
Unique ID: WOS:000388233400017
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