SCIRP Mobile Website
Paper Submission

Why Us? >>

  • - Open Access
  • - Peer-reviewed
  • - Rapid publication
  • - Lifetime hosting
  • - Free indexing service
  • - Free promotion service
  • - More citations
  • - Search engine friendly

Free SCIRP Newsletters>>

Add your e-mail address to receive free newsletters from SCIRP.

 

Contact Us >>

Article citations

More>>

Y. Kida, S. Kagami, T. Nakata, M. Kouchi, and H. Mizoguchi, (2004) Human finding and body property estimation by using floor segmentation and 3D labeling, Proceedings of IEEE In-ternational Conference on Systems, Man and Cybernetics, 3, 2924–2929.

has been cited by the following article:

  • TITLE: Unsupervised human height estimation from a single image

    AUTHORS: Ye-Peng Guan

    KEYWORDS: Human Height Estimation; Golden Proportion; Facial Proportion; Feature Extraction; Projection Model

    JOURNAL NAME: Journal of Biomedical Science and Engineering, Vol.2 No.6, October 27, 2009

    ABSTRACT: The single image containing only a human face not previously addressed in the literature is employed to estimate body height. The human face especially the facial vertical distribution possesses some important information which strongly correlates with the stature. The vertical proportions keep up relative constancy during the human growth. Only a few facial features such as the eyes, the lip and the chin are necessary to extract. The metric stature is estimated according to the statistical measurement sets and the facial vertical golden proportion. The estimated stature is tested with some individuals with only a single facial image. The performance of the proposed method is compared with some similar methods, which shows the proposal performs better. The experimental results highlight that the developed method estimates stature with high accuracy.