Gender recognition with limited feature points from 3-D human body shapes

@article{Tang2012GenderRW,
  title={Gender recognition with limited feature points from 3-D human body shapes},
  author={Jinshan Tang and Xiaoming Liu and Huaining Cheng and Kathleen M. Robinette},
  journal={2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC)},
  year={2012},
  pages={2481-2484}
}
In this paper, we investigate the possibility of using limited feature points (shape landmarks) from 3-D human body shapes to recognize the gender of human beings. Several machine learning algorithms and feature extraction algorithms (principal component analysis and linear discriminant analysis) are investigated and analyzed in this paper. Experimental results on a large dataset containing 2484 3-D shape models show that limited feature points (shape landmarks) can be used for gender… CONTINUE READING

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