@inproceedings{584c2846d0994d2e961a336fd7eb1b37,
title = "3D model retrieval using multiple features and manifold ranking",
abstract = "The demand of 3D object retrieval became urgent according to the widely use of 3D printer. In this paper, a 3D object retrieval method is proposed using multiple features and manifold ranking. Five descriptors are concatenated to be a new feature vector of length 792 for 3D object retrieval. They are angular radial transform-based elevation descriptor(ART-ED), principal plane descriptor(PPD), 3D-angular radial transform(3D-ART), shell grid descriptor(SGD), and Grid Distance 2 (GD2). Next, a manifold ranking method is used to re-rank the retrieved results. In addition, various distance metrics are addressed in the construction of manifold graph. The retrieval results on a benchmark dataset SHREC-W have been reported to show the feasibility of the proposed method.",
keywords = "3D model retrieval, adjacency graph, distance metric, Manifold ranking, multiple features",
author = "Hsieh, {Cheng Ta} and Shih, {Jau Ling} and Lee, {Chang Hsing} and Han, {Chin Chuan} and Fan, {Kuo Chin}",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 8th International Conference on Ubi-Media Computing, UMEDIA 2015 ; Conference date: 24-08-2015 Through 26-08-2015",
year = "2015",
month = oct,
day = "12",
doi = "10.1109/UMEDIA.2015.7297419",
language = "???core.languages.en_GB???",
series = "2015 8th International Conference on Ubi-Media Computing, UMEDIA 2015 - Conference Proceeedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "7--10",
booktitle = "2015 8th International Conference on Ubi-Media Computing, UMEDIA 2015 - Conference Proceeedings",
}