English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Object correspondence as a machine learning problem

Schölkopf, B., Steinke, F., & Blanz, V. (2005). Object correspondence as a machine learning problem. In S. Dzeroski, L. De Raedt, & S. Wrobel (Eds.), ICML '05: 22nd International Conference on Machine Learning (pp. 776-783). New York, NY, USA: ACM Press.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-D6E5-0 Version Permalink: http://hdl.handle.net/21.11116/0000-0005-2126-B
Genre: Conference Paper

Files

show Files

Locators

show
hide
Description:
-

Creators

show
hide
 Creators:
Schölkopf, B1, 2, Author              
Steinke, F1, 2, Author              
Blanz, V, Author              
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

Content

show
hide
Free keywords: -
 Abstract: We propose machine learning methods for the estimation of deformation fields that transform two given objects into each other, thereby establishing a dense point to point correspondence. The fields are computed using a modified support vector machine containing a penalty enforcing that points of one object will be mapped to ``similaramp;lsquo;amp;lsquo; points on the other one. Our system, which contains little engineering or domain knowledge, delivers state of the art performance. We present application results including close to photorealistic morphs of 3D head models.

Details

show
hide
Language(s):
 Dates: 2005-08
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: BibTex Citekey: 3386
DOI: 10.1145/1102351.1102449
 Degree: -

Event

show
hide
Title: 22nd International Conference on Machine Learning (ICML 2005)
Place of Event: Bonn, Germany
Start-/End Date: 2005-08-07 - 2005-08-11

Legal Case

show

Project information

show

Source 1

show
hide
Title: ICML '05: 22nd International Conference on Machine Learning
Source Genre: Proceedings
 Creator(s):
Dzeroski, S, Editor
De Raedt, L, Editor
Wrobel, S, Editor
Affiliations:
-
Publ. Info: New York, NY, USA : ACM Press
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 776 - 783 Identifier: ISBN: 1-59593-180-5