A Shape-Based Classifier of Domain-Independent 3D Models
Philippine Journals Online
View Archive Info| Field | Value | |
| Title |
A Shape-Based Classifier of Domain-Independent 3D Models
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| Creator |
Conrado R Ruiz, Jr; College of Computer Studies, De La Salle University – Manila
Levi Jones C. Monteverde; Citibank, International Technology Organization, Singapore |
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| Subject |
Computer Studies
3D models, shape descriptors, domain independent classification, similarity measure |
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| Description |
This paper proposes D2a, a new 3D model classifier that extends the D2 classifier from Osada et al. of Princeton University. The probability distribution of the ratio of areas of faces containing two random points from a 3D model is stored as the second dimension of a 2D array; while the first dimension contains the frequency distribution of distances of randomly generated point pairs (the D2 distribution). The resulting descriptor, D2a, is a two-dimensional histogram that incorporates these two shape features. The results of the classifier using four bins for the D2a descriptor are presented. The effectiveness is tested using the Princeton Shape Benchmark which shows an improvement over the original D2 classifier in several performance metrics. Keywords: 3D models, shape descriptors, domain independent classification, similarity measureDOI: 10.3860/jrsce.v3i3.101Journal of Research in Science, Computing and Engineering (JRSCE) Vol.3(3) 2006 33-40
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| Publisher |
De La Salle University-Manila
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| Contributor |
—
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| Date |
2008-05-09
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| Type |
—
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| Format |
application/pdf
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| Identifier |
http://www.philjol.info/index.php/JRSCE/article/view/101
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| Source |
Journal of Research in Science, Computing and Engineering; Vol 3, No 3 (2006); 33-40
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| Language |
en
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| Coverage |
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