Pregled bibliografske jedinice broj: 496173
Accomplishments and Challenges of Computer Stereo Vision
Accomplishments and Challenges of Computer Stereo Vision // Proceedings of the 52nd International Symposium ELMAR-2010 / Grgić, Mislav ; Božek, Jelena ; Grgić, Sonja (ur.).
Zagreb: Hrvatsko društvo Elektronika u pomorstvu (ELMAR), 2010. str. 57-63 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 496173 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Accomplishments and Challenges of Computer Stereo Vision
Autori
Gosta, Miran ; Grgić, Mislav
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 52nd International Symposium ELMAR-2010
/ Grgić, Mislav ; Božek, Jelena ; Grgić, Sonja - Zagreb : Hrvatsko društvo Elektronika u pomorstvu (ELMAR), 2010, 57-63
ISBN
978-953-7044-11-4
Skup
International Symposium ELMAR
Mjesto i datum
Zadar, Hrvatska, 15.09.2010. - 17.09.2010
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Computer Stereo Vision; Epipolar Rectification; Correspondence Problem; Disparity; Depth Calculation; Occlusion; Depth Discontinuities
Sažetak
Segmentation and grouping of image elements is required to proceed with image recognition. Due to the fact that the images are two dimensional (2D) representations of the real three dimensional (3D) scenes, the information of the third dimension, like geometrical relations between the objects that are important for reasonable segmentation and grouping, are lost in 2D image representations. Computer stereo vision implies on understanding information stored in 3D-scene. Techniques for stereo computation are observed in this paper. The methods for solving the correspondence problem in stereo image matching are presented. The process of 3D-scene reconstruction from stereo image pairs and extraction of parameters important for image understanding are described. Occluded and surrounding areas in stereo image pairs are stressed out as important for image understanding.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo
POVEZANOST RADA
Projekti:
036-0361630-1635 - Upravljanje kvalitetom slike u radiodifuziji digitalnog videosignala (Grgić, Sonja, MZO ) ( CroRIS)
036-0982560-1643 - Inteligentno određivanje značajki slike u sustavima za otkrivanje znanja (Grgić, Mislav, MZO ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Profili:
Mislav Grgić
(autor)