Reconstruction of facial shape from freehand multi-viewpoint snapshots

Seiji Suzuki, Hideo Saito, Masaaki Mochimaru

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

1 Citation (Scopus)

Abstract

We propose a method that can reconstruct both a 3D facial shape and camera poses from freehand multi-viewpoint snapshots. This method is based on Active Shape Model (ASM) using a facial shape database. Most ASM methods require an image in which the camera pose is known, but our method does not require this information. First, we choose an initial shape by selecting the model from the database which is most suitable to input images. Then, we improve the model by morphing it to fit the input images. Next, we estimate the camera poses using the morphed model. Finally we repeat the process, improving both the facial shape and the camera poses until the error between the input images and the computed result is minimized. Through experimentation, we show that our method reconstructs the facial shape within 3.5 mm of the ground truth.

Original languageEnglish
Title of host publicationAdvances in Visual Computing - 5th International Symposium, ISVC 2009, Proceedings
Pages641-650
Number of pages10
EditionPART 2
DOIs
Publication statusPublished - 2009
Event5th International Symposium on Advances in Visual Computing, ISVC 2009 - Las Vegas, NV, United States
Duration: 2009 Nov 302009 Dec 2

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume5876 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other5th International Symposium on Advances in Visual Computing, ISVC 2009
CountryUnited States
CityLas Vegas, NV
Period09/11/3009/12/2

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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