The HFB Face Database for Heterogeneous Face Biometrics research

A face database, composed of visual (VIS), near infrared (NIR) and three-dimensional (3D) face images, is collected. Called the HFB face database, it is released now to promote research and development of heterogeneous face biometrics (HFB). This release of version 1 contains a total of 992 images from 100 subjects; there are 4 VIS, 4 NIR, and 1 or 2 3D face images per subject. In this paper, we describe the apparatuses, environments and procedure of the data collection and present baseline performances of the standard PCA and LDA methods on the database.

• Publication year

  2009

• Venue

  IEEE Computer Society Conference on Computer Vision and Pattern Recognition workshops

• Publication date

  2009-06-01

• Fields of study

  Computer Science

• Identifiers
  DOI 10.1109/CVPRW.2009.5204149
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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