Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Michael Waechter"'
Publikováno v:
International Journal of Computer Vision. 130:1403-1415
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. :1-12
We consider the problem of estimating surface normals of a scene with spatially varying, general bidirectional reflectance distribution functions (BRDFs) observed by a static camera under varying distant illuminations. Unlike previous approaches that
Publikováno v:
International Journal of Computer Vision. 128:1889-1912
We present a method for geometric point light source calibration. Unlike prior works that use Lambertian spheres, mirror spheres, or mirror planes, we use a calibration target consisting of a plane and small shadow casters at unknown positions above
Publikováno v:
Ergonomics. 63:274-282
Tablets on the shop floor need handles because user requirements for handling differ from tablet usage in leisure time. The ergonomics of such handles is under-researched, resulting in a lack of methods for their design and evaluation. In this paper,
Autor:
Justus Lücke, Michael Wächter, Claudia Lehmann, Marie Jeanne Webers, Leon Hennig, Tina Schmalfuß, Nick Meinhold
Das Leipziger Zukunftsmodell (LZM) begleitet Entscheider:innen bei einer systematischen Auseinandersetzung mit aktuellen wie zukünftig relevanten Trends. Grundlage des Modells sind die vier Phasen'Identifizieren','Übersetzen','Gestalten'und'Umsetze
Publikováno v:
Advances in Human Factors and System Interactions ISBN: 9783030798154
AHFE (7)
AHFE (7)
While after months of virtual-only meetings, the benefits of face-to-face meetings have been clearly missed, the alternatives are not only remote and on-site. An interesting path to explore is the usage of telepresence robots (TPR). A TPR is a video
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ce89418961902397e59f7454b83f9e79
https://doi.org/10.1007/978-3-030-79816-1_18
https://doi.org/10.1007/978-3-030-79816-1_18
Publikováno v:
CVPR
We present a minimal imaging setup that harnesses both geometric and photometric approaches for shape and albedo recovery. We adopt a stereo camera and a flashlight to capture a stereo image pair and a flash/no-flash pair. From the stereo image pair,
Publikováno v:
CVPR
In this paper, we consider the problem of estimating surface normals of a scene with spatially varying, general BRDFs observed by a static camera under varying, known, distant illumination. Unlike previous approaches that are mostly based on continuo
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030585976
ECCV (8)
ECCV (8)
This paper presents a near-light photometric stereo method for spatially varying reflectances. Recent studies in photometric stereo proposed learning-based approaches to handle diverse real-world reflectances and achieve high accuracy compared to con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b06b1cafcdd8e616a26aca55ba834ea4
https://doi.org/10.1007/978-3-030-58598-3_9
https://doi.org/10.1007/978-3-030-58598-3_9
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030585679
ECCV (14)
ECCV (14)
This paper targets at discovering what a deep uncalibrated photometric stereo network learns to resolve the problem’s inherent ambiguity, and designing an effective network architecture based on the new insight to improve the performance. The recen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f03e509f958b111342b23c414c0bd4e
https://doi.org/10.1007/978-3-030-58568-6_44
https://doi.org/10.1007/978-3-030-58568-6_44