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Quantitative comparison between neural network- and SGM-based stereo matching

Frenzel, Alexander and Deckers, Niklas and Reulke, R. (2019) Quantitative comparison between neural network- and SGM-based stereo matching. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, XLII-1 (W2), pp. 17-22. Evaluation and Benchmarking of Sensors, Systems and Geospatial Data in Photogrammetry and Remote Sensing, 2019-09-16 - 2019-09-17, Warschau, Polen. doi: 10.5194/isprs-archives-XLII-1-W2-17-2019.

Full text not available from this repository.

Official URL: https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-1-W2/17/2019/


Item URL in elib:https://elib.dlr.de/129656/
Document Type:Conference or Workshop Item (Speech)
Title:Quantitative comparison between neural network- and SGM-based stereo matching
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Frenzel, AlexanderHU BerlinUNSPECIFIEDUNSPECIFIED
Deckers, NiklasHU BerlinUNSPECIFIEDUNSPECIFIED
Reulke, R.Institut für Optische SensorsystemeUNSPECIFIEDUNSPECIFIED
Date:12 September 2019
Journal or Publication Title:International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
Volume:XLII-1
DOI:10.5194/isprs-archives-XLII-1-W2-17-2019
Page Range:pp. 17-22
Status:Published
Keywords:Stereo Matching, Deep Learning, ZED Camera
Event Title:Evaluation and Benchmarking of Sensors, Systems and Geospatial Data in Photogrammetry and Remote Sensing
Event Location:Warschau, Polen
Event Type:Workshop
Event Start Date:16 September 2019
Event End Date:17 September 2019
Organizer:ISPRS
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Optical Technologies and Applications
Location: Berlin-Adlershof
Institutes and Institutions:Institute of Optical Sensor Systems
Deposited By: Dombrowski, Ute
Deposited On:21 Oct 2019 14:24
Last Modified:24 Apr 2024 20:33

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