Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Hervé Locteau"'
Autor:
Andrea Cafarelli, Angela Sorriento, Giorgia Marola, Denise Amram, Fabien Rabusseau, Herve Locteau, Paolo Cabras, Erik Dumont, Sam Nakhaei, Ake Jernberger, Par Bergsten, Paolo Spinnato, Alessandro Russo, Leonardo Ricotti
Publikováno v:
IEEE Open Journal of Engineering in Medicine and Biology, Vol 5, Pp 476-484 (2024)
Goal: To evaluate the usability of different technologies designed for a remote assessment of knee osteoarthritis. Methods: We recruited eleven patients affected by mild or moderate knee osteoarthritis, eleven caregivers, and eleven clinicians to ass
Externí odkaz:
https://doaj.org/article/993c646b55194fc9978c945da8efb0be
Publikováno v:
IAPR International Workshop on Document Analysis Systems-DAS 2010
IAPR International Workshop on Document Analysis Systems-DAS 2010, Jun 2010, Boston, MA, United States. pp.167-174
Document Analysis Systems
IAPR International Workshop on Document Analysis Systems-DAS 2010, Jun 2010, Boston, MA, United States. pp.167-174
Document Analysis Systems
International audience; In this article, a system to detect rooms in architectural floor plan images is described. We first present a primitive extraction algorithm for line detection. It is based on an original coupling of classical Hough transform
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c219def9833b21507ab72f01b641c921
https://inria.hal.science/inria-00493393
https://inria.hal.science/inria-00493393
Autor:
Yves Lecourtier, Hervé Locteau, Pierre Héroux, Sébastien Adam, Pierre Le Bodic, Arnaud Knippel
Publikováno v:
ICDAR
International Conference on Document Analysis and Recognition
International Conference on Document Analysis and Recognition, Computer Vision Center, Jul 2009, Barcelona, Spain. 5 p., ⟨10.1109/ICDAR.2009.202⟩
International Conference on Document Analysis and Recognition
International Conference on Document Analysis and Recognition, Computer Vision Center, Jul 2009, Barcelona, Spain. 5 p., ⟨10.1109/ICDAR.2009.202⟩
International audience; In this paper, we tackle the problem of localizing graphical symbols on complex technical document images by using an original approach to solve the subgraph isophism problem. In the proposed system, document and symbol images
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::201299c78824388e776188b5ef1dd5c7
https://doi.org/10.1109/icdar.2009.202
https://doi.org/10.1109/icdar.2009.202
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540881841
GREC
GREC
In this paper we present a system that allows to build synthetic graphical documents for the performance evaluation of symbol recognition systems. The key contribution of this work is the building of whole documents like drawings or maps. We exploit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b91aa2c27bbf00cec09f40727607cf2
https://doi.org/10.1007/978-3-540-88188-9_27
https://doi.org/10.1007/978-3-540-88188-9_27
Publikováno v:
In Graph-Based Representations in Pattern Recognition, 6th IAPR-TC-15 International Workshop GbRPR 2007, Lecture Notes in Computer Science, Francisco Escolano and Mario Vento Eds., Springer, ISBN: 978-3-540-72902-0
In Graph-Based Representations in Pattern Recognition, 6th IAPR-TC-15 International Workshop GbRPR 2007, Lecture Notes in Computer Science, Francisco Escolano and Mario Vento Eds., Springer, ISBN: 978-3-540-72902-0, 2007, France. pp.361-370
Graph-Based Representations in Pattern Recognition ISBN: 9783540729020
GbRPR
In Graph-Based Representations in Pattern Recognition, 6th IAPR-TC-15 International Workshop GbRPR 2007, Lecture Notes in Computer Science, Francisco Escolano and Mario Vento Eds., Springer, ISBN: 978-3-540-72902-0, 2007, France. pp.361-370
Graph-Based Representations in Pattern Recognition ISBN: 9783540729020
GbRPR
In this paper, a graph classification approach based on a multi-objective genetic algorithm is presented. The method consists in the learning of sets composed of synthetic graph prototypes which are used for a classification step. These learning grap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e2a97844e1feeb81a7978de19ab16d63
https://hal.archives-ouvertes.fr/hal-00361099
https://hal.archives-ouvertes.fr/hal-00361099
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540347118
GREC
GREC
In this paper, we investigates symbol representation introducing a new hybrid approach. Using a combination of statistical and structural descriptors, we overcome deficiencies of each method taken alone. Indeed, a Region Adjacency Graph of loops is a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0292cd028a479c7ce7cdc18b303f74fa
https://doi.org/10.1007/11767978_7
https://doi.org/10.1007/11767978_7
Publikováno v:
Graphics Recognition. Ten Years Review and Future Perspectives
IAPR International Workshop on Graphics Recognition
IAPR International Workshop on Graphics Recognition, 2005, Honk-Kong, Hong Kong SAR China. pp.300-311, ⟨10.1007/11767978_27⟩
Lecture Notes in Computer Science ISBN: 9783540347118
GREC
IAPR International Workshop on Graphics Recognition
IAPR International Workshop on Graphics Recognition, 2005, Honk-Kong, Hong Kong SAR China. pp.300-311, ⟨10.1007/11767978_27⟩
Lecture Notes in Computer Science ISBN: 9783540347118
GREC
International audience; In this paper, a polygonal approximation approach based on a multi-objective genetic algorithm is proposed. In this method, the optimization/exploration algorithm locates breakpoints on the digital curve by minimizing simultan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::55e3a36ee7b16a7f8002d0a44c22a187
https://hal.archives-ouvertes.fr/hal-00601529
https://hal.archives-ouvertes.fr/hal-00601529