Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Sandro, Schoenborn"'
Publikováno v:
ICST
Testing of large and complex industrial control systems is challenging as the space of possible input and environmental parameters is large. Searching the entire space for potential failures is practically infeasible. This paper introduces an industr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f49d44c298b0f2fb623aead41666f803
https://doi.org/10.1109/icst49551.2021.00048
https://doi.org/10.1109/icst49551.2021.00048
Autor:
Andrei, Dan, Robin, Verschueren, Georgia, Giannopoulou, Birke, Robert Renè Maria, Thomas, Locher, Elsi-Mari, Borrelli, Philipp, Sommer, Sandro, Schoenborn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______970::31d517eb98d564f6517e21eb4d01b306
https://hdl.handle.net/2318/1891741
https://hdl.handle.net/2318/1891741
Autor:
Thomas Vetter, Bernhard Egger, Sandro Schoenborn, Clemens Blumer, Marcel Lüthi, Andreas Morel-Forster, Thomas Gerig
Publikováno v:
FG
In this paper, we present a novel open-source pipeline for face registration based on Gaussian processes as well as an application to face image analysis. Non-rigid registration of faces is significant for many applications in computer vision, such a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a6ad8d4f1a461c9384afa766e2590940
https://doi.org/10.1109/fg.2018.00021
https://doi.org/10.1109/fg.2018.00021