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Języki publikacji
Abstrakty
Stereo matching techniques have evolved substantially throughout recent years. However, the problem of unambigous stereo points matching, especially in presence of object occlusions, as well as images noise and distortions, remains still open. In this paper, a novel feature-based stereo matching method, based on tensor representation of local structures in digital images, has been described. Application of a structural tensor enables more reliable matching of locally coherent structures, representing averaged dominant gradients in local neighborhoods rather than sparse points. The presented work has been completed with many experiments that confirmed its usefulness, especially in a case of real stereo images.
Słowa kluczowe
Czasopismo
Rocznik
Tom
Strony
289--316
Opis fizyczny
Bibliogr. 23 poz.
Twórcy
autor
- University of Mining and Metallurgy, Department of Electronics, Al. A. Mickiewicza 30, 30-059 Kraków, Poland
Bibliografia
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BWA1-0002-0025