Pose estimation of 3D face images using fuzzy nearest distance in fuzzy interpolation line

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

Abstract

Authors have developed a novel method to estimate the pose position of an incoming 3D face image. In the learning system, a set of 3D face images of various persons with various face expressions at determined pose is used as a fuzzy reference vector. Instead of using the conventional crisp-vector in conventional crisp-feature space, we develop a pose estimation system using fuzzy-vector as a point in a fuzzy-feature space, by incorporating fuzzy numbers to deal with the fuzziness of the data caused by statistical measurement error directly. A fuzzy-linear interpolation and a fuzzy-spline interpolation which uses fuzzy points are then constructed. To estimate the pose position of an unknown crisp-image vector, it is firstly transformed into a fuzzy-vector and projected onto 3D fuzzy-feature spaces, then calculate the fuzzy-distances to all available fuzzy-points in the designated fuzzy-lines. We also develop fuzzy distance calculation methods for determining the pose position of an unknown 3D face image. Comparisons of the recognition results of the proposed methods with the crispline interpolation methods show that the proposed methods increased the recognition rate by 30%.

Original languageEnglish
Title of host publication2010 The 2nd International Conference on Computer and Automation Engineering, ICCAE 2010
Pages575-579
Number of pages5
DOIs
Publication statusPublished - 28 May 2010
Event2nd International Conference on Computer and Automation Engineering, ICCAE 2010 - Singapore, Singapore
Duration: 26 Feb 201028 Feb 2010

Publication series

Name2010 The 2nd International Conference on Computer and Automation Engineering, ICCAE 2010
Volume2

Conference

Conference2nd International Conference on Computer and Automation Engineering, ICCAE 2010
CountrySingapore
CitySingapore
Period26/02/1028/02/10

Keywords

  • Fuzzy distance calculation
  • Fuzzy line interpolation
  • Fuzzy number
  • Fuzzy vector

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