Facial Image Segregation : A direct approach

Kamath, Anirudh and Prabhu, Srikanth and Kini, Anita (2016) Facial Image Segregation : A direct approach. In: International Coferenced on computational maths in engineering and health science, 17/12/2016, Japan.

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Abstract

Owing our thanks to evolution, human faces have distinctive features that separate each one of us and make us unique. We all have different facial features, some of us have round faces, some have a slender jaw line, and so on. The structure of a human face cannot be exactly replicated by any certain shape, but we can approximate a face to be either an ellipse (oval) or a circle (The two simplest cases)

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Image Segragation
Subjects: Engineering > MIT Manipal > Computer Science and Engineering
Engineering > MIT Manipal > Information and Communication Technology
Depositing User: MIT Library
Date Deposited: 13 Jan 2017 13:40
Last Modified: 13 Jan 2017 13:40
URI: http://eprints.manipal.edu/id/eprint/148107

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