English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Markerless 3D Face Tracking

Walder, C., Breidt, M., Bülthoff, H., Schölkopf, B., & Curio, C. (2009). Markerless 3D Face Tracking. In J. Denzler, G. Notni, & H. Süsse (Eds.), Pattern Recognition: 31st DAGM Symposium, Jena, Germany, September 9-11, 2009 (pp. 41-50). Berlin, Germany: Springer.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-C311-9 Version Permalink: http://hdl.handle.net/21.11116/0000-0003-1896-9
Genre: Conference Paper

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Walder, C1, 2, 3, 4, Author              
Breidt, M2, 3, 4, Author              
Bülthoff, HH2, 3, Author              
Schölkopf, B1, 3, Author              
Curio, C2, 3, 4, Author              
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              
3Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              
4Project group: Cognitive Engineering, Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_2528702              

Content

show
hide
Free keywords: -
 Abstract: We present a novel algorithm for the markerless tracking of deforming surfaces such as faces. We acquire a sequence of 3D scans along with color images at 40Hz. The data is then represented by implicit surface and color functions, using a novel partition-of-unity type method of efficiently combining local regressors using nearest neighbor searches. Both these functions act on the 4D space of 3D plus time, and use temporal information to handle the noise in individual scans. After interactive registration of a template mesh to the first frame, it is then automatically deformed to track the scanned surface, using the variation of both shape and color as features in a dynamic energy minimization problem. Our prototype system yields high-quality animated 3D models in correspondence, at a rate of approximately twenty seconds per timestep. Tracking results for faces and other objects are presented.

Details

show
hide
Language(s):
 Dates: 2009-09
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: DOI: 10.1007/978-3-642-03798-6_5
BibTex Citekey: 5899
 Degree: -

Event

show
hide
Title: 31. Symposium of the German Association for Pattern Recognition (DAGM 2009)
Place of Event: Jena, Germany
Start-/End Date: 2009-09-09 - 2009-09-11

Legal Case

show

Project information

show

Source 1

show
hide
Title: Pattern Recognition: 31st DAGM Symposium, Jena, Germany, September 9-11, 2009
Source Genre: Proceedings
 Creator(s):
Denzler, J, Editor
Notni, G, Editor
Süsse, H, Editor
Affiliations:
-
Publ. Info: Berlin, Germany : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 41 - 50 Identifier: ISBN: 978-3-642-03798-6

Source 2

show
hide
Title: Lecture Notes in Computer Science
Source Genre: Series
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 5748 Sequence Number: - Start / End Page: - Identifier: -