Convergence of model based shape from shading

Michael S. Lew, Michel Chaudron, Nies Huijsmans, Alfred She, Thomas S. Huang

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

Abstract

Three dimensional models are used by a wide variety of applications such as face recognition and model based coding for teleconferencing. In face recognition and model based coding the generic 3D model is used to generate images of the individual from any viewpoint. Recent work has been focussed on using shape from shading for refinement of the generic model toward the 3D shape of the individual. However, the previous methods have been based on iteration schemes in which convergence could not be proven. The main goal of this paper is to introduce a provably convergent algorithm for solving the problem of model based shape from shading. Bounds on the number of iterations for attaining error of order h are also given.

Original languageEnglish (US)
Title of host publicationImage Analysis and Processing - 9th International Conference, ICIAP 1997, Proceedings
EditorsAlberto Del Bimbo
PublisherSpringer-Verlag
Pages582-587
Number of pages6
ISBN (Print)3540635076, 9783540635079
DOIs
StatePublished - Jan 1 1997
Event9th International Conference on Image Analysis and Processing, ICIAP 1997 - Florence, Italy
Duration: Sep 17 1997Sep 19 1997

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1310
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other9th International Conference on Image Analysis and Processing, ICIAP 1997
CountryItaly
CityFlorence
Period9/17/979/19/97

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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