Literature DB >> 24036746

Numerical survey of the different shapes of human chin.

Abraham Tamir1.   

Abstract

Experimental results are reported for the numerical quantities of the different shapes of human chin where, to the best of the author's knowledge, this approach has never been applied. The results are based on 3143 pictures of chins taken from the Internet of which 1328 were of women and 1815 of men. The author has succeeded to classify all the chins into 3 shapes: the cleft chin for men only, 2.23% of the total; the double chin, 15.69% = 14.0% + 1.69%; and the normal chin, 82.09% = 41.52% + 40.57%, where the first number is for men and the second for women.

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Year:  2013        PMID: 24036746     DOI: 10.1097/SCS.0b013e3182942b77

Source DB:  PubMed          Journal:  J Craniofac Surg        ISSN: 1049-2275            Impact factor:   1.046


  1 in total

1.  Automatic classification of human facial features based on their appearance.

Authors:  Felix Fuentes-Hurtado; Jose A Diego-Mas; Valery Naranjo; Mariano Alcañiz
Journal:  PLoS One       Date:  2019-01-29       Impact factor: 3.240

  1 in total

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