Szczegóły publikacji
Opis bibliograficzny
Novel feature-based stereo matching method that employs tensor representation of local pixels neighborhoods in images / Bogusław CYGANEK // Machine Graphics & Vision : international journal ; ISSN 1230-0535. — 2001 — vol. 10 no. 3 Spec. iss. on Stereogrammetry & related topics, s. 289–316. — Bibliogr. s. 316, Abstr.
Autor
Dane bibliometryczne
| ID BaDAP | 13243 |
|---|---|
| Data dodania do BaDAP | 2003-05-19 |
| Rok publikacji | 2001 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Czasopismo/seria | Machine Graphics & Vision: International Journal |
Abstract
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.