English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
 Local TagsRelease HistoryDetailsSummary
  Estimating coloured 3D face models from single images: An example based approach

Vetter, T., & Blanz, V. (1998). Estimating coloured 3D face models from single images: An example based approach. In H. Burkhardt, & B. Neumann (Eds.), Computer Vision - ECCV’98: 5th European Conference on Computer Vision Freiburg, Germany, June 2–6, 1998 (pp. 499-513). Berlin, Germany: Springer.

Item is

 

show all hide all

Basic

show hide
Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-E86B-4 Version Permalink: https://hdl.handle.net/21.11116/0000-0005-DC1B-6
Genre: Conference Paper

Files

show Files

Locators

show
hide
Locator:
https://link.springer.com/content/pdf/10.1007%2FBFb0054761.pdf (Publisher version)
Description:
-
OA-Status:

Creators

show
hide
 Creators:
Vetter, T1, 2, Author           
Blanz, V1, 2, Author           
Affiliations:
1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

Content

show
hide
Free keywords: -
 Abstract: In this paper we present a method to derive 3D shape and surface texture of a human face from a single image. The method draws on a general flexible 3D face model which is “learned” from examples of individual 3D-face data (Cyberware-scans). In an analysis-by-synthesis loop, the flexible model is matched to the novel face image.
From the coloured 3D model obtained by this procedure, we can generate new images of the face across changes in viewpoint and illumination. Moreover, nonrigid transformations which are represented within the flexible model can be applied, for example changes in facial expression.
The key problem for generating a flexible face model is the computation of dense correspondence between all given 3D example faces. A new correspondence algorithm is described which is a generalization of common algorithms for optic flow computation to 3D-face data.

Details

show
hide
Language(s):
 Dates: 1998-06
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1007/BFb0054761
BibTex Citekey: 1881
 Degree: -

Event

show
hide
Title: 5th European Conference on Computer Vision
Place of Event: Freiburg, Germany
Start-/End Date: 1998-06-02 - 1998-06-06

Legal Case

show

Project information

show

Source 1

show
hide
Title: Computer Vision - ECCV’98: 5th European Conference on Computer Vision Freiburg, Germany, June 2–6, 1998
Source Genre: Proceedings
 Creator(s):
Burkhardt, H, Editor
Neumann, B, Editor
Affiliations:
-
Publ. Info: Berlin, Germany : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 499 - 513 Identifier: ISBN: 978-3-540-64613-6

Source 2

show
hide
Title: Lecture Notes in Computer Science
Source Genre: Series
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 1407 Sequence Number: - Start / End Page: - Identifier: -