Date of Award

May 2017

Degree Type

Thesis

Degree Name

Master of Science

Department

Computer Science

First Advisor

Zeyun Yu

Committee Members

Guangwu Xu, Roshan M. D'Souza

Keywords

3D, Matching, Point, Point Matching

Abstract

3D point matching for human faces is opening new possibilities in the fields of face matching, face recognition, face retrieval, biomedical, virtual reality, etc. and is overcoming the limitations of 2D face matching. The purpose of this study is to research and implement an automated 3D point matching system for human faces. This will be added to an existing system implemented for 3D point matching on face models. The current implementation is a manual procedure to find matching between the faces, where a set of landmarks are selected on both sources and target meshes and the faces are registered using ICP and TPS techniques. The study aims to eliminate the manual process by automating the initial landmark selections.

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