TY - GEN

T1 - A shape distribution for comparing 3D models

AU - Monteverde, Levi C.

AU - Ruiz, Conrado R.

AU - Huang, Zhiyong

PY - 2007

Y1 - 2007

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84886404411&partnerID=8YFLogxK

U2 - 10.1007/978-3-540-69423-6_6

DO - 10.1007/978-3-540-69423-6_6

M3 - Conference contribution

AN - SCOPUS:84886404411

SN - 9783540694212

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 54

EP - 63

BT - Advances in Multimedia Modeling - 13th International Multimedia Modeling Conference, MMM 2007, Proceedings

T2 - 13th International Multimedia Modeling Conference, MMM 2007

Y2 - 9 January 2007 through 12 January 2007

ER -