Ms. Xin Tong Profile

Xin Tong

at City Univ of Hong Kong

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Proceedings Article | 26 January 2006 Paper

3D head model classification using optimized EGI

Xin Tong, Hau-san Wong, Bo Ma

Proceedings Volume 6056, 60560M (2006) https://doi.org/10.1117/12.641366

KEYWORDS: 3D modeling, Principal component analysis, Head, Solid modeling, Matrices, Feature extraction, 3D scanning, Data modeling, Optical spheres, 3D image processing

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With the general availability of 3D digitizers and scanners, 3D graphical models have been used widely in a variety of applications. This has led to the development of search engines for 3D models. Especially, 3D head model classification and retrieval have received more and more attention in view of their many potential applications in criminal identifications, computer animation, movie industry and medical industry. This paper addresses the 3D head model classification problem using 2D subspace analysis methods such as 2D principal component analysis (2D PCA[3]) and 2D fisher discriminant analysis (2DLDA[5]). It takes advantage of the fact that the histogram is a 2D image, and we can extract the most useful information from these 2D images to get a good result accordingingly. As a result, there are two main advantages: First, we can perform less calculation to obtain the same rate of classification; second, we can reduce the dimensionality more than PCA to obtain a higher efficiency.

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