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Published Articles >> Table of Contents >> Abstract
Second International Symposium on 3D Data Processing, Visualization and Transmission (3DPVT'04)
pp. 95-101
3D Model Retrieval Based on 2D Slice Similarity Measurements
Pu Jiantao, Peking University, Beijing
Liu Yi, Peking University, Beijing
Xin Guyu, Peking University, Beijing
Zha Hongbin, Peking University, Beijing
Liu Weibin, Fujitsu R&D Center Co., LTD
Yusuke Uehara, Fujitsu Laboratories LTD
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TDPVT.2004.1335181
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| Abstract |
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In this paper, we present an approach based on 2D
slices for measuring similarity between 3D models. The
key idea is to represent the 3D model by a series of slices
along certain directions so that the shape-matching
problem between 3D models is transformed into
similarity measuring between 2D slices. Here, we have to
deal with the following problems: selection of cutting
directions, cutting methods, and similarity measuring. To
solve these problems, some strategies and rules are
proposed. Firstly, a maximum normal distribution method
is presented to get three ortho-axes that coincide better
with human visual perception mechanism. Secondly, a
cutting method is given which can be used to get a series
of slices composed of a set of closed polygons. Thirdly, on
the basis of 3D shape distribution method presented by
Robert et al., we develop a 2D shape distribution method
to measure the similarity between the 2D slices. Some
experiments are given in this paper to show the validity of
this method for 3D model retrieval.
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 Additional Information
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Citation:
Pu Jiantao, Liu Yi, Xin Guyu, Zha Hongbin, Liu Weibin, Yusuke Uehara,
"3D Model Retrieval Based on 2D Slice Similarity Measurements,"
3dpvt,
pp. 95-101,
Second International Symposium on 3D Data Processing, Visualization and Transmission (3DPVT'04),
2004
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