Full Content is available to subscribers

Subscribe/Learn More  >
Proceedings Article

Color constancy in 3D-2D face recognition

[+] Author Affiliations
Manuel Meyer, Christian Riess, Elli Angelopoulou

Univ. of Erlangen-Nuremberg (Germany)

Georgios Evangelopoulos, Ioannis A. Kakadiaris

Univ. of Houston (United States)

Proc. SPIE 8712, Biometric and Surveillance Technology for Human and Activity Identification X, 87120S (May 31, 2013); doi:10.1117/12.2018758
Text Size: A A A
From Conference Volume 8712

  • Biometric and Surveillance Technology for Human and Activity Identification X
  • Ioannis Kakadiaris; Walter J. Scheirer; Laurence G. Hassebrook
  • Baltimore, Maryland, USA | April 29, 2013

abstract

Face is one of the most popular biometric modalities. However, up to now, color is rarely actively used in face recognition. Yet, it is well-known that when a person recognizes a face, color cues can become as important as shape, especially when combined with the ability of people to identify the color of objects independent of illuminant color variations. In this paper, we examine the feasibility and effect of explicitly embedding illuminant color information in face recognition systems. We empirically examine the theoretical maximum gain of including known illuminant color to a 3D-2D face recognition system. We also investigate the impact of using computational color constancy methods for estimating the illuminant color, which is then incorporated into the face recognition framework. Our experiments show that under close-to-ideal illumination estimates, one can improve face recognition rates by 16%. When the illuminant color is algorithmically estimated, the improvement is approximately 5%. These results suggest that color constancy has a positive impact on face recognition, but the accuracy of the illuminant color estimate has a considerable effect on its benefits. © (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation

Manuel Meyer ; Christian Riess ; Elli Angelopoulou ; Georgios Evangelopoulos and Ioannis A. Kakadiaris
" Color constancy in 3D-2D face recognition ", Proc. SPIE 8712, Biometric and Surveillance Technology for Human and Activity Identification X, 87120S (May 31, 2013); doi:10.1117/12.2018758; http://dx.doi.org/10.1117/12.2018758


Access This Proceeding
Sign in or Create a personal account to Buy this proceeding ($15 for members, $18 for non-members).

Figures

Tables

NOTE:
Citing articles are presented as examples only. In non-demo SCM6 implementation, integration with CrossRef’s "Cited By" API will populate this tab (http://www.crossref.org/citedby.html).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Topic Collections

Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Proceeding
Sign in or Create a personal account to Buy this proceeding ($15 for members, $18 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.