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Title:
HIBRIDNI SISTEM STEREOSKOPSKEGA RAČUNALNIŠKEGA VIDA
Authors:
ID
Šelekar, Blaž
(
Author
)
ID
Kramberger, Iztok
(
Mentor
)
More about this mentor...
Files:
UNI_Selekar_Blaz_2011.pdf
(3,82 MB)
MD5: CF28127EDFEEFB52A6BF803FB6E26797
PID:
20.500.12556/dkum/e2eab8b6-0bd0-4faf-97f4-8a928c38cf4e
Language:
Slovenian
Work type:
Undergraduate thesis
Organization:
FERI - Faculty of Electrical Engineering and Computer Science
Abstract:
Diplomska naloga predstavlja osnove stereoskopskega računalniškega vida. Podani so načini umerjanja stereoskopskega sistema in odpravljanje popačenja preslikave 3D prostora v 2D sliko. V diplomski nalogi smo se lotili izdelave hibridnega sistema stereoskopskega računalniškega vida, ki je sestavljen iz treh kamer. Hibridni sistem izkorišča lastnosti treh različnih globinskih funkcij stereoskopske neenakosti tako, da preklaplja med pogledi treh parov kamer. Kamere so razmaknjene na različne medsebojne razdalje. Programska oprema sistema temelji na odprtokodni knjižnici OpenCV. Z omenjenim sistemom smo povečali preciznost globinske slike in globinski kontrast. Z uporabo treh različnih pogledov smo povečali tudi stereoskopsko področje osnovnega stereoskopskega sistema.
Keywords:
računalniški vid
,
stereoskopija
,
kamere
,
globinske slike
Place of publishing:
Maribor
Publisher:
[B. Šelekar]
Year of publishing:
2011
PID:
20.500.12556/DKUM-17549
UDC:
004.92:007.52(043.2)
COBISS.SI-ID:
15609110
NUK URN:
URN:SI:UM:DK:X0DYL59W
Publication date in DKUM:
26.09.2011
Views:
2449
Downloads:
155
Metadata:
Categories:
KTFMB - FERI
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Secondary language
Language:
English
Title:
HYBRID SYSTEM OF STEREOSCOPIC COMPUTER VISION
Abstract:
This diploma work discusses the basics of the stereoscopic computer vision. We present the methods of calibrating the stereoscopic system and eliminating distortions in mapping 3D space to 2D image. Our research is focused on a hybrid system of computer vision, which is composed of three cameras. A hybrid system exploits the advantages of three different functions of stereoscopic disparity, by switching between the views of three camera pairs. The cameras are spaced at different mutual distances. The system software is based on the open source library OpenCV. This system increases precision of the depth maps and the depth contrast. By using three different camera views, we increase the stereoscopic area of fundamental stereoscopic system.
Keywords:
computer vision
,
stereoscopy
,
cameras
,
depth images
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