Robust Location Based Partial Correlation Robust Location Based Partial Correlation

نویسنده

  • Roger MOHR
چکیده

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 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. Corr elation partielle bas ee sur la localisation robuste R esum e : L'appariement entre deux images est une cl e de nombreux probl emes de perception, en particulier celui de la perception st er eoscopique. La corr elation est la solution la plus commun ement adopt ee. La corr elation classique comme ZNCC a des diicult ees pr es des discontinuit es qui se pr e-sentent a la limite des objets occultants. Dans ce rapport, nous proposons une technique baptis ee corr elation partielle pour r esoudre ce probl eme. Nous utilisons la localisation robuste pour trouver la bonne partie des fen^ etres a corr eler. Nous avons compar e notre m ethode avec les m ethodes standards et les m ethodes non param etriques. Des exp erimentations valident la m ethode.

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Robust Location Based Partial Correlation

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 partial correlation technique is proposed to solve this problem. Robust location methods are used to perform this partial correlation. Compariso...

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تاریخ انتشار 1997