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
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
Recommended Citation
Asuncion, A., & Mondejar, C. E. (2013). Facial expression detection and imitation in mobile devices. Retrieved from https://animorepository.dlsu.edu.ph/etd_bachelors/5458
Embargo Period
4-27-2021
