Surface normal angle for 3D face recognition

Wei Jen Chew, Kah Phooi Seng, Li Minn Ang

Research output: Book chapter/Published conference paperConference paper

Abstract

A common 3D face recognition method is to align two faces together and perform surface matching. Although to achieve a good alignment is a time consuming task, this step is vital to obtain a good recognition rate using surface matching. Therefore, in this paper, a 3D face recognition method that does not require vigorous alignment is proposed. This method consists of using the surface normal of the face and the identity is determined by calculating the angle differences between the surface normal of 2 faces. Surface normal is chosen since the value would be the same regardless of the face pose. The face with the smallest angle difference is determined to be the identity of the unknown face. Simulation results show that this proposed method is able to produce good recognition rates and does not require the usage of fine alignment.

Original languageEnglish
Title of host publicationICCAIE 2010 - 2010 International Conference on Computer Applications and Industrial Electronics
Pages477-480
Number of pages4
DOIs
Publication statusPublished - 01 Dec 2010
Event2010 International Conference on Computer Applications and Industrial Electronics, ICCAIE 2010 - Kuala Lumpur, Malaysia
Duration: 05 Dec 201007 Dec 2010

Conference

Conference2010 International Conference on Computer Applications and Industrial Electronics, ICCAIE 2010
CountryMalaysia
CityKuala Lumpur
Period05/12/1007/12/10

Fingerprint Dive into the research topics of 'Surface normal angle for 3D face recognition'. Together they form a unique fingerprint.

  • Cite this

    Chew, W. J., Seng, K. P., & Ang, L. M. (2010). Surface normal angle for 3D face recognition. In ICCAIE 2010 - 2010 International Conference on Computer Applications and Industrial Electronics (pp. 477-480). [5735127] https://doi.org/10.1109/ICCAIE.2010.5735127