Title

Facial expression detection and imitation in mobile devices

Date of Publication

2013

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

Solomon See

Defense Panel Member

Merlin Suarez
Enzo Hagad

Abstract/Summary

The research aims to create an approach for mobile devices that would allow real-time face detection and face limitation without the aid of external processing or cloud computing. The research would look into different algorithms and techniques in face detection that would balance speed and accuracy given the limited computational power of mobile devices, while the face limitation would be shown to the user via a 2D avatar. The research would test on the facial expressions that can be imitated.

Abstract Format

html

Language

English

Format

Print

Accession Number

TU18463

Shelf Location

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

Physical Description

vi, 58, [75] leaves, illustrations (some color), 28 cm.

Keywords

Human face recognition (Computer science); Optical character recognition devices

Embargo Period

4-27-2021

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