Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Joel Vidal"'
Publikováno v:
Sensors, Vol 23, Iss 4, p 1898 (2023)
During the last few years, supervised deep convolutional neural networks have become the state-of-the-art for image recognition tasks. Nevertheless, their performance is severely linked to the amount and quality of the training data. Acquiring and la
Externí odkaz:
https://doaj.org/article/e9b69e5574a441c28a23097021e7ae45
Publikováno v:
Sensors, Vol 21, Iss 23, p 8090 (2021)
Recently, 6D pose estimation methods have shown robust performance on highly cluttered scenes and different illumination conditions. However, occlusions are still challenging, with recognition rates decreasing to less than 10% for half-visible object
Externí odkaz:
https://doaj.org/article/8d99be169a774cb28ae5b0c02bb6cbb3
Publikováno v:
Sensors, Vol 18, Iss 8, p 2678 (2018)
Pose estimation of free-form objects is a crucial task towards flexible and reliable highly complex autonomous systems. Recently, methods based on range and RGB-D data have shown promising results with relatively high recognition rates and fast runni
Externí odkaz:
https://doaj.org/article/d7c8c0cad42c4742bdf41d220aff5c9a
Autor:
Joel Vidal Verdaguer
107
Object recognition and pose estimation is a crucial task towards scene understanding and highly efficient, flexible and reliable autonomous systems. Traditionally, most research efforts in object recognition have been focused on the detectio
Object recognition and pose estimation is a crucial task towards scene understanding and highly efficient, flexible and reliable autonomous systems. Traditionally, most research efforts in object recognition have been focused on the detectio
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/3966gm
Publikováno v:
Sensors
Volume 23
Issue 4
Pages: 1898
Volume 23
Issue 4
Pages: 1898
During the last few years, supervised deep convolutional neural networks have become the state-of-the-art for image recognition tasks. Nevertheless, their performance is severely linked to the amount and quality of the training data. Acquiring and la
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e9c4bed156fe5bc2687843e32582f9b5
Autor:
Robert Martí, Pablo G. del Campo, Joel Vidal, Xavier Cufí, Joan Martí, Margarita Chevalier, Jordi Freixenet
Publikováno v:
16th International Workshop on Breast Imaging (IWBI2022).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::10124cb3c240e4053bb52d81bda3b532
https://doi.org/10.1117/12.2625733
https://doi.org/10.1117/12.2625733
Autor:
Robert Martí, Joel Vidal
Publikováno v:
16th International Workshop on Breast Imaging (IWBI2022).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b0fbd7fb46879d5bd05b07d4727d9a5
https://doi.org/10.1117/12.2625780
https://doi.org/10.1117/12.2625780
Publikováno v:
The International Journal of Advanced Manufacturing Technology. 102:1935-1950
In manufacturing industries, offline programming (OLP) platforms provide an independent methodology for robot integration using 3D model simulation away from the actual robot cell and production process, reducing integration time and costs. However,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e00e388fd119da3eddfd1d7d0bb3a86
https://doi.org/10.1007/s00170-018-03282-w
https://doi.org/10.1007/s00170-018-03282-w
Publikováno v:
Pattern Recognition. ICPR International Workshops and Challenges ISBN: 9783030687625
ICPR Workshops (1)
ICPR Workshops (1)
Dynamic Contrast Enhanced Magnetic Resonance Imaging (DCE-MRI) is a popular tool for the diagnosis of breast lesions due to its effectiveness, especially in a high risk population. Accurate lesion segmentation is an important step for subsequent anal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1956014f7d4cea7476e03d89249263e3
https://doi.org/10.1007/978-3-030-68763-2_32
https://doi.org/10.1007/978-3-030-68763-2_32
Real-time robotic grasping, supporting a subsequent precise object-in-hand operation task, is a priority target towards highly advanced autonomous systems. However, such an algorithm which can perform sufficiently-accurate grasping with time efficien
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb42dfcfc33c2998d4a41c35f7516483