The Application of CUDA Architecture in Facial Expression Recognition

Author

Lv, Jianqiang ; Xia, Chunfen

Author_Institution

Coll. of Comput. Sci. & Technol., Huanggang Normal Univ., Huangang, China

fYear

2010

fDate

28-29 Oct. 2010

Firstpage

180

Lastpage

183

Abstract

This work studies the general method of modern graphics processing unit (GPU) calculating and uses compute unified device architecture (CUDA) to present an implementation of facial expression recognition. We calculate the Gromov-Hausdorff distance between faces, and this measures how far each pair of faces are from being isometric. Finally, The results showed the feasibility of this type of device as a massively parallel data processing tool, and that bigger the scale of face data, better is its performance.

Keywords

computer graphic equipment; coprocessors; face recognition; parallel processing; CUDA; Gromov-Hausdorff distance; compute unified device architecture; facial expression recognition; graphics processing unit; massively parallel data processing; Computer architecture; Face recognition; Graphics processing unit; Instruction sets; Parallel processing; Shape; CUDA; GPU; Gromov-Hausdorff distance; facial expression recognition; massively parallel data processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligence Information Processing and Trusted Computing (IPTC), 2010 International Symposium on

Conference_Location

Huanggang

Print_ISBN

978-1-4244-8148-4

Electronic_ISBN

978-0-7695-4196-9

Type

conf

DOI

10.1109/IPTC.2010.65

Filename

5663051