Face shape reconstruction from image sequence taken with monocular camera using shape database

Hideo Saito, Yosuke Ito, Masaaki Mochimaru

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

4 Citations (Scopus)

Abstract

We propose a method for reconstructing 3D face shape from a camera, which captures the object face from various viewing angles. In this method, we do not directly reconstruct the shape, but estimate a small number of parameters which represent the face shape. The parameter space is constructed with Principal Component Analysis of database of a large number of face shapes collected for different people. By the PCA, the parameter space can represent the shape difference for the faces of various persons. From the input image sequence that is captured by the moving camera, the parameters of the object face can be estimated based on optimization framework. The experiments based on the proposed method demonstrate that the proposed method can reconstruct the facial shape with the accuracy of 2.5mm averaged error.

Original languageEnglish
Title of host publicationProceedings - 14th International Conference on Image Analysis and Processing, ICIAP 2007
Pages165-170
Number of pages6
DOIs
Publication statusPublished - 2007 Dec 1
Event14th Edition of the International Conference on Image Analysis and Processing, ICIAP 2007 - Modena, Italy
Duration: 2007 Sept 102007 Sept 14

Publication series

NameProceedings - 14th International conference on Image Analysis and Processing, ICIAP 2007

Other

Other14th Edition of the International Conference on Image Analysis and Processing, ICIAP 2007
Country/TerritoryItaly
CityModena
Period07/9/1007/9/14

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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