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Differential and Statistical Approach to Partial Model Matching
Joint Authors
Guo, Kehua
Liu, Yongling
Duan, Guihua
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-02-03
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Partial model matching approaches are important to target recognition.
In this paper, aiming at a 3D model, a novel solution utilizing Gaussian curvature and mean curvature to represent the inherent structure of a spatial shape is proposed.
Firstly, a Point-Pair Set is constructed by means of filtrating points with a similar inherent characteristic in the partial surface.
Secondly, a Triangle-Pair Set is demonstrated after locating the spatial model by asymmetry triangle skeleton.
Finally, after searching similar triangles in a Point-Pair Set, optimal transformation is obtained by computing the scoring function in a Triangle-Pair Set, and optimal matching is determined.
Experiments show that this algorithm is suitable for partial model matching.
Encouraging matching efficiency, speed, and running time complexity to irregular models are indicated in the study.
American Psychological Association (APA)
Guo, Kehua& Liu, Yongling& Duan, Guihua. 2013. Differential and Statistical Approach to Partial Model Matching. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-1031755
Modern Language Association (MLA)
Guo, Kehua…[et al.]. Differential and Statistical Approach to Partial Model Matching. Mathematical Problems in Engineering No. 2013 (2013), pp.1-8.
https://search.emarefa.net/detail/BIM-1031755
American Medical Association (AMA)
Guo, Kehua& Liu, Yongling& Duan, Guihua. Differential and Statistical Approach to Partial Model Matching. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-1031755
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1031755