Pregled bibliografske jedinice broj: 884726
3D Data Acquisition Based on OpenCV for Close- range Photogrammetry Applications
3D Data Acquisition Based on OpenCV for Close- range Photogrammetry Applications // The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII-1/W1 / Heipke, C. ; Jacobsen, K. ; Stilla, U. ; Rottensteiner, F. ; Yilmaz, A. ; Ying Yang, M. ; Skaloud, J. ; Colomina, I. (ur.).
Hannover: The International Society for Photogrammetry and Remote Sensing, 2017. str. 377-382 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
3D Data Acquisition Based on OpenCV for Close- range Photogrammetry Applications
Autori
Jurjević, Luka ; Gašparović, Mateo
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII-1/W1
/ Heipke, C. ; Jacobsen, K. ; Stilla, U. ; Rottensteiner, F. ; Yilmaz, A. ; Ying Yang, M. ; Skaloud, J. ; Colomina, I. - Hannover : The International Society for Photogrammetry and Remote Sensing, 2017, 377-382
Skup
ISPRS Hannover Workshop: HRIGI 17 – CMRT 17 – ISA 17 – EuroCOW 17
Mjesto i datum
Hannover, Njemačka, 06.06.2017. - 09.06.2017
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Computer vision ; Close-range Photogrammetry ; OpenCV ; Camera calibration ; Stereo matching ; 3D reconstruction
Sažetak
Development of the technology in the area of the cameras, computers and algorithms for 3D the reconstruction of the objects from the images resulted in the increased popularity of the photogrammetry. Algorithms for the 3D model reconstruction are so advanced that almost anyone can make a 3D model of photographed object. The main goal of this paper is to examine the possibility of obtaining 3D data for the purposes of the close-range photogrammetry applications, based on the open source technologies. All steps of obtaining 3D point cloud are covered in this paper. Special attention is given to the camera calibration, for which two-step process of calibration is used. Both, presented algorithm and accuracy of the point cloud are tested by calculating the spatial difference between referent and produced point clouds. During algorithm testing, robustness and swiftness of obtaining 3D data is noted, and certainly usage of this and similar algorithms has a lot of potential in the real-time application. That is the reason why this research can find its application in the architecture, spatial planning, protection of cultural heritage, forensic, mechanical engineering, traffic management, medicine and other sciences.
Izvorni jezik
Engleski
Znanstvena područja
Geologija, Geodezija
POVEZANOST RADA
Ustanove:
Geodetski fakultet, Zagreb