Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Roland Mörzinger"'
Autor:
Vincent Fehmer, Barbara Solenthaler, Murali Srinivasan, Roland Mörzinger, Marcel Lancelle, Irena Sailer, Thabo Beeler, Shiming Liu, Markus Gross
Publikováno v:
The Journal of Prosthetic Dentistry, Vol. 122, No 3 (2019) pp. 282-287
Statement of problem Three-dimensional visualization for pretreatment diagnostics and treatment planning is necessary for surgical and prosthetic rehabilitations. The reliability of a novel 3D facial camera is unclear. Purpose The purpose of this cli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2db06a8b05e20329ceefc7d6823812ad
https://archive-ouverte.unige.ch/unige:123707
https://archive-ouverte.unige.ch/unige:123707
Autor:
Thabo Beeler, Shiming Liu, Marcel Lancelle, Murali Srinivasan, Vincent Fehmer, Markus Gross, Chenglei Wu, Irena Sailer, Roland Mörzinger
Publikováno v:
The Journal of Prosthetic Dentistry, Vol. 120, No 4 (2018) pp. 520-524
Statement of problem An evaluation of user satisfaction and image quality of a novel handheld purpose-built mobile camera system for 3-dimensional (3D) facial acquisition is lacking. Purpose The purpose of this pilot clinical study was to assess and
Publikováno v:
Multimedia Tools and Applications. 50:7-28
Multimedia analysis usually deals with a large amount of video data with a significant number of moving objects. Often it is necessary to reduce the amount of data and to represent the video in terms of moving objects and events. Event analysis can b
Publikováno v:
Multimedia Tools and Applications. 42:97-113
Automatic image annotation is an important and challenging task, and becomes increasingly necessary when managing large image collections. This paper describes techniques for automatic image annotation that take advantage of collaboratively annotated
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642312731
IRFC
IRFC
Information relevant for patent officers as well as research staff is hidden in huge amounts of patents --- both, patents' text and images being valuable knowledge sources. The retrieval process to discover this knowledge is time consuming and theref
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a453d79a7791cec8b47c2c3a91354d47
https://doi.org/10.1007/978-3-642-31274-8_7
https://doi.org/10.1007/978-3-642-31274-8_7
Publikováno v:
I-KNOW
The paper discusses the problem of patent image retrieval. It describes the issues faced when extracting semantic data of images in patents, as well as an integration framework between the data thus extracted and semantic information extracted from t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::67c467b22b1ffba5f26870747c4b97b0
Publikováno v:
Proceedings of the 4th workshop on Patent information retrieval.
Drawings are an important component of patents, and many search tasks in the intellectual property domain rely on the comparison of patent drawings. In this paper, we begin with a review of algorithms developed for the automated retrieval of similar
Publikováno v:
AVSS
Person detection is a challenging task in industrial environments which typically feature rapidly changing conditions of illumination and the presence of occluding objects and cluttered background. This paper proposes a series of algorithms for impro
Autor:
Galina Veres, Manolis Sardis, Albert Hofmann, Mark S. Nixon, Constantinos Lalos, Rene Schuster, Dimitrios Kosmopoulos, Nikolaos Doulamis, Zoheir Sabeur, Theodora Varvarigou, Helmut Grabner, Rolando Palma Zelada, Vassileios Anagnostopoulos, Severin Stalder, Lee Middleton, Marcus Thaler, Luc Van Gool, Banafshe Arbab-Zavar, Imed Bouchrika, Ignacio Jubert Soler, John N. Carter, Roland Mörzinger, Athanasios Voulodimos, Igor Rosenberg, Georg Thallinger
Publikováno v:
ARTEMIS@ACM Multimedia
This paper describes a tool chain for monitoring complex workflows. Statistics obtained from automatic workflow monitoring in a car assembly environment assist in improving industrial safety and process quality. To this end, we propose automatic dete