Novel feature-based stereo matching method that employs tensor representation on local pixels neighborhoods in images

• Autorzy: Cyganek B.
• Języki publikacji: EN

Abstrakty

EN

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

EN

stereo vision; stereo matching; depth recovery; structural trensor

• Wydawca: Institute of Information Technology of the Warsaw University of Life Sciences – SGGW
• Czasopismo: Machine Graphics and Vision
• Rocznik: 2001
• Tom: Vol. 10, No. 3
• Strony: 289--316
• Opis fizyczny: Bibliogr. 23 poz.

Twórcy

autor

Cyganek B.

• University of Mining and Metallurgy, Department of Electronics, Al. A. Mickiewicza 30, 30-059 Kraków, Poland