Paper Title:
Using Depth Image in 3D Model Retrieval System
  Abstract

For content-based 3D model retrieval, an improved depth image-based feature extraction algorithm is proposed. First, a 3-D model is preprocessed. Secondly, six depth images are generated in three principal directions in the normalized coordinate system. Thirdly, the eigenvectors of 3D model are obtained through 2D Fourier Transform of the depth images. Finally a new method is used for low-frequency sampling. Experiments show that the approach performed quite well despite its apparently simple approach. In our large 3D database, our approach is well for variant resolution models and holds satisfied computational costs.

  Info
Periodical
Advanced Materials Research (Volumes 268-270)
Edited by
Feng Xiong
Pages
981-987
DOI
10.4028/www.scientific.net/AMR.268-270.981
Citation
Y. G. Liu, M. Q. Zhou, Y. C. Fan, "Using Depth Image in 3D Model Retrieval System", Advanced Materials Research, Vols. 268-270, pp. 981-987, 2011
Online since
July 2011
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Price
$35.00
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