Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Xavier, Desquesnes"'
Publikováno v:
Journal of Imaging, Vol 10, Iss 6, p 148 (2024)
The preservation of historical monuments presents a formidable challenge, particularly in monitoring the deterioration of building materials over time. Chateau de Chambord’s facade suffers from common issues such as flaking and spalling, which requ
Externí odkaz:
https://doaj.org/article/8a8679e44cf94be4b986ae4b7fef810c
Publikováno v:
In Mathematics and Computers in Simulation August 2014 102:153-163
Autor:
Koubouratou Idjaton, Romain Janvier, Malek Balawi, Xavier Desquesnes, Xavier Brunetaud, Sylvie Treuillet
Publikováno v:
Automation in Construction. 152:104919
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031133237
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95d88110b5ff1c743fd85b3f2c92b3e4
https://doi.org/10.1007/978-3-031-13324-4_31
https://doi.org/10.1007/978-3-031-13324-4_31
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031133237
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0afe9b6810f2c1eb75deec617aa15a6f
https://doi.org/10.1007/978-3-031-13324-4_26
https://doi.org/10.1007/978-3-031-13324-4_26
Publikováno v:
Pattern Recognition. ICPR International Workshops and Challenges
Pattern Recognition. ICPR International Workshops and Challenges, 12667, Springer International Publishing, pp.235-248, 2021, Lecture Notes in Computer Science, ⟨10.1007/978-3-030-68787-8_17⟩
Pattern Recognition. ICPR International Workshops and Challenges ISBN: 9783030687861
ICPR Workshops (7)
Pattern Recognition. ICPR International Workshops and Challenges, 12667, Springer International Publishing, pp.235-248, 2021, Lecture Notes in Computer Science, ⟨10.1007/978-3-030-68787-8_17⟩
Pattern Recognition. ICPR International Workshops and Challenges ISBN: 9783030687861
ICPR Workshops (7)
Monitoring and restoration of cultural heritage buildings require the definition of an accurate health record. A critical step is the labeling of the exhaustive constitutive elements of the building. Stone-by-stone segmentation is a major part. Tradi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::afd1844073391a9990962683ae5603e9
https://hal.archives-ouvertes.fr/hal-03419749
https://hal.archives-ouvertes.fr/hal-03419749
On the game p-Laplacian on weighted graphs with applications in image processing and data clustering
Publikováno v:
European Journal of Applied Mathematics
European Journal of Applied Mathematics, Cambridge University Press (CUP), 2017, 28 (6), pp.922-948. ⟨10.1017/S0956792517000122⟩
European Journal of Applied Mathematics, Cambridge University Press (CUP), 2017, 28 (6), pp.922-948. ⟨10.1017/S0956792517000122⟩
Game-theoretic p-Laplacian or normalized p-Laplacian operator is a version of classical variational p-Laplacian which was introduced recently in connection with stochastic games called Tug-of-War with noise (Peres et al. 2008, Tug-of-war with noise:
Publikováno v:
Graph-Based Representations in Pattern Recognition ISBN: 9783030200800
GbRPR
GbRPR
Building highly discriminative graph has an important impact on the quality of graph-based hyperspectral image segmentation. For this purpose, we propose to weight graph edges using Local Binary Pattern (LBP) descriptor that takes into account the te
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26decd2b6ee332dec30ac9e2e6bc05b8
https://doi.org/10.1007/978-3-030-20081-7_15
https://doi.org/10.1007/978-3-030-20081-7_15
Publikováno v:
IEEE Journal of Selected Topics in Signal Processing. 10:151-160
In this paper, we use the framework of partial difference equations on weighted graphs as a methodology to address the problem of computer-aided cytology. First, introduced to perform image smoothing and filtering, this framework has recently been ex
Publikováno v:
WHISPERS
Graph-based representation, which has recently been used for hyperspectral image segmentation, effectively allows the simultaneous exploitation of the spatial and the spectral data of these images. This representation may, however, depend on several