Abstract
Nowadays, the methods and tools of the 3D technology and human body modeling are developed rapidly, learning and analyzing 3D body scans will accelerate the development of 3D modeling. In this research, a novel algorithm using intersection views is proposed for retrieving 3D body scans. An Asian Female Body Scan (AFBS) database is established by analyzing various 3D body scan data at first, and then, intersection views are extracted for each 3D body scan, and the Fourier and Wavelet features of the intersection views are extracted for description the 3D body scans. Experiment simulation results proved that the presented algorithm could achieve better retrieval performance than other descriptors used for retrieving 3D body scans.
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