By the same authors

From the same journal

From the same journal

Three-dimensional face recognition using combinations of surface feature map subspace components

Research output: Contribution to journalArticlepeer-review

Author(s)

Department/unit(s)

Publication details

JournalImage and Vision Computing
DatePublished - 3 Mar 2008
Issue number3
Volume26
Number of pages15
Pages (from-to)382-396
Original languageEnglish

Abstract

In this paper, we show the effect of using a variety of facial surface feature maps within the Fishersurface technique, which uses linear discriminant analysis, and suggest a method of identifying and extracting useful qualities offered by each surface feature map. Combining these multi-feature subspace components into a unified surface subspace, we create a three-dimensional face recognition system producing significantly lower error rates than individual surface feature map systems tested on the same data. We evaluate systems by performing up to 1,079,715 verification operations on a large test set of 3D face models. Results are presented in the form of false acceptance and false rejection rates, generated by varying a decision threshold applied to a distance metric in surface space.

Discover related content

Find related publications, people, projects, datasets and more using interactive charts.

View graph of relations