Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Abiel Aguilar-González"'
Publikováno v:
Applied Sciences, Vol 14, Iss 18, p 8187 (2024)
Detecting objects in images is crucial for several applications, including surveillance, autonomous navigation, augmented reality, and so on. Although AI-based approaches such as Convolutional Neural Networks (CNNs) have proven highly effective in ob
Externí odkaz:
https://doaj.org/article/55f14dee53094d299e175c6ea92e0481
Autor:
Héctor‐Daniel Vázquez‐Delgado, Madaín Pérez‐Patricio, Abiel Aguilar‐González, Miguel‐Octavio Arias‐Estrada, Marco‐Antonio Palacios‐Ramos, Jorge Luis Camas‐Anzueto, Antonio Pérez‐Cruz, Sabino Velázquez‐Trujillo
Publikováno v:
IET Computer Vision, Vol 15, Iss 3, Pp 208-223 (2021)
Abstract Stereo matching obtains a depth map called a disparity map that indicates or shows the positions of the objects in a scene. To estimate a disparity map, the most popular trend consists of comparing two images (left‐right) from two differen
Externí odkaz:
https://doaj.org/article/84e5a7af9ca049d29448c76ed7bb7792
Publikováno v:
Sensors, Vol 19, Iss 1, p 53 (2018)
Applications such as autonomous navigation, robot vision, and autonomous flying require depth map information of a scene. Depth can be estimated by using a single moving camera (depth from motion). However, the traditional depth from motion algorithm
Externí odkaz:
https://doaj.org/article/21f8bcb64afc4da99608d514f9fe2b7e
Autor:
Madaín Pérez-Patricio, Jorge Luis Camas-Anzueto, Avisaí Sanchez-Alegría, Abiel Aguilar-González, Federico Gutiérrez-Miceli, Elías Escobar-Gómez, Yvon Voisin, Carlos Rios-Rojas, Ruben Grajales-Coutiño
Publikováno v:
Sensors, Vol 18, Iss 2, p 650 (2018)
This work introduces a new vision-based approach for estimating chlorophyll contents in a plant leaf using reflectance and transmittance as base parameters. Images of the top and underside of the leaf are captured. To estimate the base parameters (re
Externí odkaz:
https://doaj.org/article/790d8bf5cd92491c89525984b033810c
Autor:
Antonio Pérez-Cruz, J.L. Camas-Anzueto, Abiel Aguilar-González, Marco-Antonio Palacios-Ramos, M. Pérez-Patricio, Sabino Velázquez-Trujillo, Héctor-Daniel Vázquez-Delgado, Miguel-Octavio Arias-Estrada
Publikováno v:
IET Computer Vision, Vol 15, Iss 3, Pp 208-223 (2021)
Stereo matching obtains a depth map called a disparity map that indicates or shows the positions of the objects in a scene. To estimate a disparity map, the most popular trend consists of comparing two images (left‐right) from two different points
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc677b005c986236e0bff8c5448bf8ca
https://doi.org/10.1049/cvi2.12031
https://doi.org/10.1049/cvi2.12031
Publikováno v:
ICDSC
Virtual reality (VR) is an experience taking place within simulated and immersive environments. Although in recent years several virtual reality applications such as, virtual reality gaming, medical educational and military training applications have
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c24d234803b2a49c0d8e69e1618615e
https://doi.org/10.1145/3349801.3357133
https://doi.org/10.1145/3349801.3357133
Publikováno v:
ICDSC
Stereo matching consists in extracting 3D information from digital images, such as those obtained by a CCD camera. It is an important issue under several real world applications, such as positioning systems for mobile robots, augmented reality system
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa1f245dea98007e9133cd997ddb813c
https://doi.org/10.1145/3349801.3357128
https://doi.org/10.1145/3349801.3357128
Publikováno v:
Microprocessors and Microsystems: Embedded Hardware Design (MICPRO)
Microprocessors and Microsystems: Embedded Hardware Design (MICPRO), Elsevier, 2019, ⟨10.1016/j.micpro.2019.03.005⟩
Microprocessors and Microsystems: Embedded Hardware Design
Microprocessors and Microsystems: Embedded Hardware Design, 2019, ⟨10.1016/j.micpro.2019.03.005⟩
Microprocessors and Microsystems: Embedded Hardware Design (MICPRO), Elsevier, 2019, ⟨10.1016/j.micpro.2019.03.005⟩
Microprocessors and Microsystems: Embedded Hardware Design
Microprocessors and Microsystems: Embedded Hardware Design, 2019, ⟨10.1016/j.micpro.2019.03.005⟩
Ego-motion consists in estimating a camera motion relative to a rigid scene. It is a fundamental task for auto-guided vehicles or self-location of mobile robots. Unfortunately, recent works have demonstrated that computational complexity of ego-motio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aa9e4a9e62e1317882801019e4f7e689
https://hal.archives-ouvertes.fr/hal-02080630
https://hal.archives-ouvertes.fr/hal-02080630
Autor:
J.L. Camas-Anzueto, Rubén Grajales-Coutiño, Abiel Aguilar-González, M. Pérez-Patricio, Nestor Antonio Morales Navarro
Publikováno v:
International Journal of Circuit Theory and Applications.
In this work, a new chlorophyll estimation approach based on the reflectance/trans-mittance from the leaf being analyzed is proposed. First, top/underside images from the leaf under analysis are captured, then, the base parameters (reflectance/trans-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::62b2557301d3debc79967397e4adc1bc
https://doi.org/10.1002/cta.2489
https://doi.org/10.1002/cta.2489
Autor:
Abiel Aguilar-González, M. Pérez-Patricio, Federico Antonio Gutiérrez-Miceli, Yvon Voisin, Rubén Grajales-Coutiño, Elías N. Escobar-Gómez, J.L. Camas-Anzueto, Avisaí Sánchez-Alegría, Carlos Rios-Rojas
Publikováno v:
Sensors; Volume 18; Issue 2; Pages: 650
Sensors, Vol 18, Iss 2, p 650 (2018)
Sensors
Sensors, MDPI, 2018, 18 (2), pp.650. ⟨10.3390/s18020650⟩
Sensors (Basel, Switzerland)
Sensors, 2018, 18 (2), pp.650. ⟨10.3390/s18020650⟩
Sensors, Vol 18, Iss 2, p 650 (2018)
Sensors
Sensors, MDPI, 2018, 18 (2), pp.650. ⟨10.3390/s18020650⟩
Sensors (Basel, Switzerland)
Sensors, 2018, 18 (2), pp.650. ⟨10.3390/s18020650⟩
International audience; This work introduces a new vision-based approach for estimating chlorophyll contents in a plant leaf using reflectance and transmittance as base parameters. Images of the top and underside of the leaf are captured. To estimate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae9c44c8d37ea92460610db7277ada41