Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Guillermo Cámara-Chávez"'
Publikováno v:
Anais do XLIX Seminário Integrado de Software e Hardware (SEMISH 2022).
Bone suppression in radiography is a suitable technique to evaluate the health of soft tissues in exams. For instance, these techniques are essential in evaluating chest radiography images during the COVID-19 outbreak. The purpose of this work is to
Publikováno v:
SAC
Clustering methods are the most used algorithms for unsupervised learning. However, there is no unique optimal approach for all datasets since different clustering algorithms produce different partitions. To overcome this issue of selecting an approp
Autor:
Jean Cousty, Guillermo Cámara-Chávez, Edward Cayllahua-Cahuina, Silvio Jamil Ferzoli Guimarães, Yukiko Kenmochi, Arnaldo de Albuquerque Araújo
Publikováno v:
Pattern Recognition Letters
Pattern Recognition Letters, Elsevier, 2020, 131, pp.105-112. ⟨10.1016/j.patrec.2019.12.014⟩
Pattern Recognition Letters, Elsevier, 2020, 131, pp.105-112. ⟨10.1016/j.patrec.2019.12.014⟩
International audience; Hierarchical image segmentation provides region-oriented scale-spaces: sets of image segmentations at different detail levels in which the segmentations at finer levels are nested with respect to those at coarser levels. Guima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c977b1370d33f88e2841d8912b485fc9
https://hal.archives-ouvertes.fr/hal-02959334/document
https://hal.archives-ouvertes.fr/hal-02959334/document
Autor:
Pedro Saint Clair Garcia, Guillermo Cámara-Chávez, Rafael Martins, George Luiz Lins Machado Coelho
Publikováno v:
SIBGRAPI
The mosquito Aedes aegypti can transmit some diseases, which makes the study of the proliferation of this vector a necessary task. With the use of traps made in the laboratory, called ovitraps, it is possible to map egg deposition in a community. Thr
Autor:
Guillermo Cámara-Chávez, Silvio Jamil F. Guimarães, Karla Otiniano-Rodríguez, Benjamin Perret, Jean Cousty, Arnaldo de Albuquerque Araújo
Publikováno v:
CIARP 2018: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
CIARP 2018: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, pp.444-452, 2019, ⟨10.1007/978-3-030-13469-3_52⟩
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 9783030134686
CIARP
CIARP 2018: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, pp.444-452, 2019, ⟨10.1007/978-3-030-13469-3_52⟩
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 9783030134686
CIARP
International audience; This article introduces a novel region detector based on hierarchies of partitions, so-called Hierarchy-Based Salient Regions (HBSR). This approach enables to combine the clues given by a high quality contour detector with a c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b47643371444a4501713c2f78ef0b84
https://hal.archives-ouvertes.fr/hal-02064718/document
https://hal.archives-ouvertes.fr/hal-02064718/document
Autor:
Arnaldo de Albuquerque Araújo, Silvio Jamil Ferzoli Guimarães, Yukiko Kenmochi, Edward Cayllahua-Cahuina, Guillermo Cámara-Chávez, Jean Cousty
Publikováno v:
Discrete Geometry for Computer Imagery ISBN: 9783030140847
DGCI
Discrete Geometry for Computer Imagery
Discrete Geometry for Computer Imagery, Mar 2019, Noisy-le-grand, France. pp.167-179, ⟨10.1007/978-3-030-14085-4_14⟩
DGCI
Discrete Geometry for Computer Imagery
Discrete Geometry for Computer Imagery, Mar 2019, Noisy-le-grand, France. pp.167-179, ⟨10.1007/978-3-030-14085-4_14⟩
International audience; Hierarchical image segmentation provides a region-oriented scale-space, i.e., a set of image segmentations at different detail levels in which the segmentations at finer levels are nested with respect to those at coarser level
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e06672a77cb3b2efe6d0c334a8019593
https://doi.org/10.1007/978-3-030-14085-4_14
https://doi.org/10.1007/978-3-030-14085-4_14
Autor:
Edward Jorge Yuri Cayllahua Cahuina, Guillermo Cámara-Chávez, Arnaldo Albuquerque de Araújo, Yukiko Kenmochi, Silvio Jamil Ferzoli Guimarães, Jean Cousty
Publikováno v:
International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI)
International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI), 2019, 33 (11), pp.1940008. ⟨10.1142/S0218001419400081⟩
International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI), 2019, 33 (11), pp.1940008. ⟨10.1142/S0218001419400081⟩
International audience; Hierarchical image segmentation provides a region-oriented scale-space, {\em i.e.}, a set of image segmentations at different detail levels in which the segmentations at finer levels are nested with respect to those at coarser
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c462fa4e0a87ea8291a90c25897f0f71
https://hal.archives-ouvertes.fr/hal-01929072
https://hal.archives-ouvertes.fr/hal-01929072
Autor:
Guillermo Cámara-Chávez, David Menotti, Lourdes Ramirez Cerna, Dayse Garcia Miranda, Edwin Jonathan Escobedo Cardenas
Publikováno v:
Expert Systems with Applications. 167:114179
Sign language recognition has made significant advances in recent years. Many researchers show interest in encouraging the development of different applications to simplify the daily life of deaf people and to integrate them into the hearing society.
Publikováno v:
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 9783319751924
CIARP
CIARP
In this paper, we propose an approach for dynamic hand gesture recognition, which exploits depth and skeleton joint data captured by Kinect™ sensor. Also, we select the most relevant points in the hand trajectory with our proposed method to extract
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7451deaac57d7b2f9f39a03e5c999e9a
https://doi.org/10.1007/978-3-319-75193-1_26
https://doi.org/10.1007/978-3-319-75193-1_26
Publikováno v:
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 9783319751924
CIARP
CIARP
The increasing popularity of Social Networks makes change the way people interact. These interactions produce a huge amount of data and it opens the door to new strategies and marketing analysis. According to Instagram (https://instagram.com/press/)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b722bef411fe120e17701e4b0d38472
https://doi.org/10.1007/978-3-319-75193-1_14
https://doi.org/10.1007/978-3-319-75193-1_14