Face verification using high dimensional feature

A face verification problem is very popular in computer vision area. In this thesis, we developed a face verification demo using high-dimensional feature. We first used Adaboost Cascade Classifier to detect face then using facial points detector get the points which we want to build the high-dimensional based on them. To the face verification problem, we used a �smart� algorithm Bayesian Face Revisited. Finally, we apply the face verification model into a face recognition without data training.

Name thesis:degree_name

M.S.

Level thesis:degree_level

Masters

Discipline thesis:degree_discipline

Electrical and computer engineering (MU)

Grantor dc:publisher

University of Missouri--Columbia

Year dc:date.issued

2014

Author dc:creator

• Huang, Kai

Advisor dc:contributor.advisor

• Ha, Xu

• Author supplied: face recognition, high dimensional feature, face verification, A.S.M, joint bayesian, face detection

Language dc:language.iso

eng, English

Handle dc:identifier.uri

https://hdl.handle.net/10355/44424

OAI identifier oai:identifier

oai:mospace.umsystem.edu:10355/44424