Robust Location based Partial Correlation

Zhong-Dan Lan 1 Roger Mohr 1
1 MOVI - Modeling, localization, recognition and interpretation in computer vision
GRAVIR - IMAG - Graphisme, Vision et Robotique, Inria Grenoble - Rhône-Alpes, CNRS - Centre National de la Recherche Scientifique : FR71
Abstract : The visual correspondence problem is a major issue in computer vision. Correlation is a common tool for this problem. Most classical correlation methods fail near the disparity discontinuities, which occur at the boundaries of objects. In this paper, a {\em partial correlation} technique is proposed to solve this problem. Robust location methods are used to perform this partial correlation. Comparisons are made with other techniques and experimental results validate the approach.
Document type :
Reports
Complete list of metadatas

https://hal.inria.fr/inria-00073503
Contributor : Rapport de Recherche Inria <>
Submitted on : Wednesday, May 24, 2006 - 1:04:42 PM
Last modification on : Wednesday, April 11, 2018 - 1:52:12 AM
Long-term archiving on: Sunday, April 4, 2010 - 11:48:21 PM

Identifiers

  • HAL Id : inria-00073503, version 1

Collections

Citation

Zhong-Dan Lan, Roger Mohr. Robust Location based Partial Correlation. [Research Report] RR-3186, INRIA. 1997. ⟨inria-00073503⟩

Share

Metrics

Record views

199

Files downloads

441