UHDB11 database for 3D-2D face recognition

George Toderici, Georgios Evangelopoulos, Tianhong Fang, Theoharis Theoharis, Ioannis A. Kakadiaris

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Scopus citations


Performance boosts in face recognition have been facilitated by the formation of facial databases, with collection protocols customized to address challenges such as light variability, expressions, pose, sensor/modality differences, and, more recently, uncontrolled acquisition conditions. In this paper, we present database UHDB11, to facilitate 3D-2D face recognition evaluations, where the gallery has been acquired using 3D sensors (3D mesh and texture) and the probes using 2D sensors (images). The database consists of samples from 23 individuals, in the form of 2D high-resolution images spanning six illumination conditions and 12 head-pose variations, and 3D facial mesh and texture. It addresses limitations regarding resolution, variability and type of 3D/2D data and has demonstrated to be statistically more challenging, diverse and information rich than existing cohorts of 10 times larger number of subjects. We propose a set of 3D-2D experimental configurations, with frontal 3D galleries and pose-illumination varying probes and provide baseline performance for identification and verification (available at http://cbl.uh.edu/URxD/ datasets).

Original languageEnglish (US)
Title of host publicationImage and Video Technology - 6th Pacific-Rim Symposium, PSIVT 2013, Revised Selected Papers
Number of pages14
ISBN (Print)9783642538414
StatePublished - 2014
Event6th Pacific-Rim Symposium on Image and Video Technology, PSIVT 2013 - Guanajuato, Mexico
Duration: Oct 28 2013Nov 1 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8333 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference6th Pacific-Rim Symposium on Image and Video Technology, PSIVT 2013


  • 3D-2D facial data
  • computer vision
  • face databases
  • face pose
  • face recognition
  • identification
  • illumination
  • verification

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


Dive into the research topics of 'UHDB11 database for 3D-2D face recognition'. Together they form a unique fingerprint.

Cite this