CASIA OpenIR  > 模式识别国家重点实验室  > 多媒体计算与图形学
Optimized shape semantic graph representation for object understanding and recognition in point clouds
Xiaojuan Ning1; Yinghui Wang1; Weiliang Meng2; Xiaopeng Zhang2
Source PublicationOptical Engineering
2016-10
Volume55Issue:10Pages:1-15
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.
KeywordLaser Scanned Object Shape Decomposition Shape Semantic Graph Similarity Measurement
Indexed BySCI
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/12379
Collection模式识别国家重点实验室_多媒体计算与图形学
Corresponding AuthorXiaojuan Ning
Affiliation1.Xi’an University of Technology, Department of Computer Science and Engineering
2.Chinese Academy of Sciences, Institute of Automation, National Laboratory of Pattern Recognition
Recommended Citation
GB/T 7714
Xiaojuan Ning,Yinghui Wang,Weiliang Meng,et al. Optimized shape semantic graph representation for object understanding and recognition in point clouds[J]. Optical Engineering,2016,55(10):1-15.
APA Xiaojuan Ning,Yinghui Wang,Weiliang Meng,&Xiaopeng Zhang.(2016).Optimized shape semantic graph representation for object understanding and recognition in point clouds.Optical Engineering,55(10),1-15.
MLA Xiaojuan Ning,et al."Optimized shape semantic graph representation for object understanding and recognition in point clouds".Optical Engineering 55.10(2016):1-15.
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