Kevin P. Gay

Date of Award

9-1992

Document Type

Thesis

Degree Name

Master of Science

Department

Department of Electrical and Computer Engineering

First Advisor

Steven K. Rogers, PhD

Second Advisor

Matthew Kabrisky, PhD

Abstract

The purpose of this study was to implement an autonomous face segmentor as the front end to a face recognition system on a Sun SPARCStation2. Face recognition performance criteria, specifically, the capabilities to isolate and resize faces in an image to a consistent scale, were analyzed to determine current practical limitations. Face images were acquired using a S-VHS camcorder. Segmentation was accomplished using motion detection and predefined rules. Tests were run to determine the suitable of the autonomous segmentor as the front-end to a face recognition system. The segmentation system developed consistently located faces and rescaled those faces to a normalized scale for subsequent recognition. Face Segmentation, Face Recognition, Segmentation.

AFIT Designator

AFIT-GE-ENG-92S-06

DTIC Accession Number

ADA256610

Comments

The author's Vita page is omitted.

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