Enhanced real time facial detection and replacement using GPGPU

Author

Lancaster, Mark ; Green, Ron

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of Canterbury, Christchurch, New Zealand

fYear

2013

fDate

27-29 Nov. 2013

Firstpage

276

Lastpage

281

Abstract

A method is presented for enhanced facial detection and replacement. This method builds on previous methods by addressing three key shortcomings: low performance, a tendency to misidentify walls as faces, and poor blending of the replacement face with the host body. General purpose graphics processing unit (GPGPU) technology is used to make this method feasible for use. Parameters for the algorithm are determined by experimentation. Measurements of the system show up to 3 times performance improvement from using the GPU. Blending of the host and replacement is smoother, though not seamless. Walls appear to no longer be misidentified as faces.

Keywords

face recognition; graphics processing units; GPGPU technology; enhanced real time facial detection; facial replacement; general purpose graphics processing unit technology; Cameras; Face detection; Face recognition; Filtering algorithms; Graphics processing units; Image color analysis; Image resolution; Computer vision; face detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Image and Vision Computing New Zealand (IVCNZ), 2013 28th International Conference of

Conference_Location

Wellington

ISSN

2151-2191

Print_ISBN

978-1-4799-0882-0

Type

conf

DOI

10.1109/IVCNZ.2013.6727029

Filename

6727029