20142018
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Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 3 Similar Profiles
Cameras Engineering & Materials Science
Facades Engineering & Materials Science
Edge detection Engineering & Materials Science
research and development Earth & Environmental Sciences
Sensors Engineering & Materials Science
Lighting Engineering & Materials Science
Image recording Engineering & Materials Science
Antennas Engineering & Materials Science

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Research Output 2014 2018

  • 7 Conference contribution
  • 1 Abstract
  • 1 Article

Globally Consistent Dense Real-Time 3D Reconstruction from RGBD Data

Weilharter, R. J., Schenk, F. & Fraundorfer, F., 2018, Proceedings of the OAGM Workshop 2018: Medical Image Analysis. Welk, M., Urschler, M. & Roth, P. M. (eds.). Graz: Verlag der Technischen Universität Graz, p. 121-127 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Open Access
File
Surface reconstruction
Fusion reactions
Cameras

UAV-Anwendungen im Bergbau - Modellversuche als Beitrag zur photogrammetrischen Forschung und Entwicklung

Tscharf, A., Schenk, F., Mayer, G., Fraundorfer, F. & Bischof, H., 25 Jun 2018, 19. Geokinematischer Tag. Benndorf, J. (ed.). 1 ed. Vol. 2018, p. 30-43 14 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

research and development
digitization
experiment
data interpretation
automation

Combining Edge Images and Depth Maps for Robust Visual Odometry

Schenk, F. & Fraundorfer, F., 2017, Proceedings 28th British Machine Vision Conference (BMVC). 12 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Open Access
File
Cameras
Sensors
Cost functions
Lighting
Trajectories

CSISmartScan3D - Cost-efficient Integrated 3D Crime Scene Documentation

Höller, J., Schenk, F., Urschler, M., Fraundorfer, F. & Bornik, A., Sep 2017

Research output: Contribution to conferenceAbstractResearchpeer-review

Robust Edge-based Visual Odometry using Machine-Learned Edges

Schenk, F. & Fraundorfer, F., 2017, Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS). Institute of Electrical and Electronics Engineers, p. 1297-1304 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Open Access
File
Edge detection
Laptop computers
Program processors
Lighting
Cameras

Prizes

OCG Best Paper Award

Rafael Jakob Weilharter (Recipient), Fabian Schenk (Recipient) & Friedrich Fraundorfer (Recipient), 2018

Prize: Prizes / Medals / Awards