Title

Skullpture: Automated determination of age range, race and gender from a skull

Date of Publication

2007

Document Type

Bachelor's Thesis

Degree Name

Bachelor of Science in Computer Science

Subject Categories

Computer Sciences

College

College of Computer Studies

Department/Unit

Computer Science

Thesis Adviser

Jose Ronello T. Barolom

Defense Panel Member

Florante R. Salvador

Charles Jefferson S. Segubre

Abstract/Summary

Craniofacial reconstruction is a field in forensic anthropology that deals with the reconstruction of a pre-death facial appearance of a person for the sole purpose of identification of a human being. Age, gender and race are important factors/characteristics that help in the determination of the identity of an individual. There are existing methods and approaches in determining these traits from a skull and in producing their proper estimates. Existing craniofacial reconstruction systems are unable to determine automatically these characteristics and have focused more on the reconstruction process. The research focuses on applying the different techniques, algorithms and methods used for the determination of a skull's race, gender, and age range. This presents a new challenge in generating algorithms for calculations in image processing as skulls come in different shapes and sizes. Automatic determination of these traits may serve as a foundation for future craniofacial reconstruction systems.

Abstract Format

html

Language

English

Format

Print

Accession Number

TU14562

Shelf Location

Archives, The Learning Commons, 12F, Henry Sy Sr. Hall

Physical Description

various foliations : ill. (some col) ; 28 cm.

This document is currently not available here.

Share

COinS