A shape distribution for comparing 3D models

Levi C. Monteverde, Conrado R. Ruiz, Zhiyong Huang

Producció científica: Capítol de llibreContribució a una conferènciaAvaluat per experts

9 Cites (Scopus)


This study developed a new shape-based 3D model descriptor based on the D2 shape descriptor developed by Osada, et al of Princeton University. Shape descriptors can be used to measure dissimilarity between two 3D models. In this work, we advance it by proposing a novel descriptor D2a. In our method, N pairs of faces are randomly chosen from a 3D model, with probability proportional to the area of the face. The ratio of the smaller area over the larger area is computed and its frequency stored, generating a frequency distribution of N ratios which 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 two shape features: The ratio of face areas and the distance between two random points.

Idioma originalAnglès
Títol de la publicacióAdvances in Multimedia Modeling - 13th International Multimedia Modeling Conference, MMM 2007, Proceedings
Nombre de pàgines10
EdicióPART 1
Estat de la publicacióPublicada - 2007
Publicat externament
Esdeveniment13th International Multimedia Modeling Conference, MMM 2007 - Singapore, Singapore
Durada: 9 de gen. 200712 de gen. 2007

Sèrie de publicacions

NomLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NombrePART 1
Volum4351 LNCS
ISSN (imprès)0302-9743
ISSN (electrònic)1611-3349


Conferència13th International Multimedia Modeling Conference, MMM 2007


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