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Pregled bibliografske jedinice broj: 884726

3D Data Acquisition Based on OpenCV for Close- range Photogrammetry Applications


Jurjević, Luka; Gašparović, Mateo
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

Profili:

Avatar Url Luka Jurjević (autor)

Avatar Url Mateo Gašparović (autor)

Citiraj ovu publikaciju:

Jurjević, Luka; Gašparović, Mateo
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)
Jurjević, L. & Gašparović, M. (2017) 3D Data Acquisition Based on OpenCV for Close- range Photogrammetry Applications. U: Heipke, C., Jacobsen, K., Stilla, U., Rottensteiner, F., Yilmaz, A., Ying Yang, M., Skaloud, J. & Colomina, I. (ur.)The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII-1/W1.
@article{article, author = {Jurjevi\'{c}, Luka and Ga\v{s}parovi\'{c}, Mateo}, year = {2017}, pages = {377-382}, keywords = {Computer vision, Close-range Photogrammetry, OpenCV, Camera calibration, Stereo matching, 3D reconstruction}, title = {3D Data Acquisition Based on OpenCV for Close- range Photogrammetry Applications}, keyword = {Computer vision, Close-range Photogrammetry, OpenCV, Camera calibration, Stereo matching, 3D reconstruction}, publisher = {The International Society for Photogrammetry and Remote Sensing}, publisherplace = {Hannover, Njema\v{c}ka} }
@article{article, author = {Jurjevi\'{c}, Luka and Ga\v{s}parovi\'{c}, Mateo}, year = {2017}, pages = {377-382}, keywords = {Computer vision, Close-range Photogrammetry, OpenCV, Camera calibration, Stereo matching, 3D reconstruction}, title = {3D Data Acquisition Based on OpenCV for Close- range Photogrammetry Applications}, keyword = {Computer vision, Close-range Photogrammetry, OpenCV, Camera calibration, Stereo matching, 3D reconstruction}, publisher = {The International Society for Photogrammetry and Remote Sensing}, publisherplace = {Hannover, Njema\v{c}ka} }




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