English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
 DetailsSummary
  High Accuracy Optical Flow Serves 3-D Pose Tracking: Exploiting Contour and Flow Based Constraints

Brox, T., Rosenhahn, B., Cremers, D., & Seidel, H.-P. (2006). High Accuracy Optical Flow Serves 3-D Pose Tracking: Exploiting Contour and Flow Based Constraints. In Computer vision - ECCV 2006 : 9th European Conference on Computer Vision; Part II (pp. 98-111). Berlin, Germany: Springer.

Item is

 

show all hide all

Basic

show hide
Item Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-2312-A Version Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-2314-6
Genre: Conference Paper

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Brox, Thomas, Author
Rosenhahn, Bodo1, Author           
Cremers, Daniel, Author
Seidel, Hans-Peter1, Author           
Leonarids, Ales, Editor
Bishof, Horst, Editor
Prinz, Axel, Editor
Affiliations:
1Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047              

Content

show
hide
Free keywords: -
 Abstract: Tracking the 3-D pose of an object needs correspondences between 2-D features in the image and their 3-D counterparts in the object model. A large variety of such features has been suggested in the literature. All of them have drawbacks in one situation or the other since their extraction in the image and/or the matching is prone to errors. In this paper, we propose to use two complementary types of features for pose tracking, such that one type makes up for the shortcomings of the other. Aside from the object contour, which is matched to a free-form object surface, we suggest to employ the optic flow in order to compute additional point correspondences. Optic flow estimation is a mature research field with sophisticated algorithms available. Using here a high quality method ensures a reliable matching. In our experiments we demonstrate the performance of our method and in particular the improvements due to the optic flow. We gratefully acknowledge funding by the German Research Foundation (DFG) and the Max Planck Center for Visual Computing and Communication.

Details

show
hide
Language(s): eng - English
 Dates: 2007-03-012006
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 314597
Other: Local-ID: C125675300671F7B-4A30277A8F182676C125722D0051A663-RosenhahnECCV2006
 Degree: -

Event

show
hide
Title: Untitled Event
Place of Event: Graz, Austria
Start-/End Date: 2006-05-07

Legal Case

show

Project information

show

Source 1

show
hide
Title: Computer vision - ECCV 2006 : 9th European Conference on Computer Vision; Part II
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: Berlin, Germany : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 98 - 111 Identifier: ISBN: 978-3-540-33834-5

Source 2

show
hide
Title: Lecture Notes in Computer Science
Source Genre: Series
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 3952 Sequence Number: - Start / End Page: - Identifier: -