Zobrazeno 1 - 10
of 78
pro vyhledávání: '"Rafael Muñoz-Salinas"'
Autor:
Pablo García-Ruiz, Francisco J. Romero-Ramirez, Rafael Muñoz-Salinas, Manuel J. Marín-Jiménez, Rafael Medina-Carnicer
Publikováno v:
Sensors, Vol 24, Iss 13, p 4303 (2024)
Estimating the pose of a large set of fixed indoor cameras is a requirement for certain applications in augmented reality, autonomous navigation, video surveillance, and logistics. However, accurately mapping the positions of these cameras remains an
Externí odkaz:
https://doaj.org/article/adcf98fafa9a4b2a80eef8305b68f644
Autor:
Pablo García-Ruiz, Francisco J. Romero-Ramirez, Rafael Muñoz-Salinas, Manuel J. Marín-Jiménez, Rafael Medina-Carnicer
Publikováno v:
Sensors, Vol 23, Iss 24, p 9649 (2023)
Camera pose estimation is vital in fields like robotics, medical imaging, and augmented reality. Fiducial markers, specifically ArUco and Apriltag, are preferred for their efficiency. However, their accuracy and viewing angle are limited when used as
Externí odkaz:
https://doaj.org/article/e02cce8ca3bd422583e6ec757fd8ddd0
Autor:
Rafael Aguilar-Ortega, Rafael Berral-Soler, Isabel Jiménez-Velasco, Francisco J. Romero-Ramírez, Manuel García-Marín, Jorge Zafra-Palma, Rafael Muñoz-Salinas, Rafael Medina-Carnicer, Manuel J. Marín-Jiménez
Publikováno v:
Sensors, Vol 23, Iss 21, p 8862 (2023)
Physical rehabilitation plays a crucial role in restoring motor function following injuries or surgeries. However, the challenge of overcrowded waiting lists often hampers doctors’ ability to monitor patients’ recovery progress in person. Deep Le
Externí odkaz:
https://doaj.org/article/b63e7f719bd94eb5b56138b140d86146
Autor:
Francisco J. Romero-Ramirez, Rafael Muñoz-Salinas, Manuel J. Marín-Jiménez, Miguel Cazorla, Rafael Medina-Carnicer
Publikováno v:
Sensors, Vol 23, Iss 4, p 2210 (2023)
Environment landmarks are generally employed by visual SLAM (vSLAM) methods in the form of keypoints. However, these landmarks are unstable over time because they belong to areas that tend to change, e.g., shadows or moving objects. To solve this, so
Externí odkaz:
https://doaj.org/article/a98c983909e842a59122eddfabddb274
Autor:
Sergio Garrido-Jurado, Juan Garrido, David Jurado-Rodríguez, Francisco Vázquez, Rafael Muñoz-Salinas
Publikováno v:
Sensors, Vol 22, Iss 21, p 8548 (2022)
Square markers are a widespread tool to find correspondences for camera localization because of their robustness, accuracy, and detection speed. Their identification is usually based on a binary encoding that accounts for the different rotations of t
Externí odkaz:
https://doaj.org/article/ab706b13f12a46049eeab25d776c28e0
Autor:
Manuel I. López‐Quintero, Manuel J. Marín‐Jiménez, Rafael Muñoz‐Salinas, Rafael Medina‐Carnicer
Publikováno v:
IET Computer Vision, Vol 11, Iss 6, Pp 426-433 (2017)
This study targets 2D articulated human pose estimation (i.e. localisation of body limbs) in stereo videos. Although in recent years depth‐based devices (e.g. Microsoft Kinect) have gained popularity, as they perform very well in controlled indoor
Externí odkaz:
https://doaj.org/article/5d4e65f8e80949b9828133beb9978a51
Autor:
David Jurado-Rodríguez, Juan M. Jurado, Luís Pádua, Alexandre Neto, Rafael Muñoz-Salinas, Joaquim J. Sousa
Publikováno v:
Computers & Graphics. 107:93-103
Publikováno v:
Virtual Reality.
Autor:
Francisco Vazquez, Rafael Muñoz-Salinas, Juan Garrido, David Jurado-Rodríguez, Sergio Garrido-Jurado
Publikováno v:
Sensors; Volume 22; Issue 21; Pages: 8548
Square markers are a widespread tool to find correspondences for camera localization because of their robustness, accuracy, and detection speed. Their identification is usually based on a binary encoding that accounts for the different rotations of t
Autor:
Rafael Medina-Carnicer, Manuel J. Marin-Jimenez, Rafael Muñoz-Salinas, Francisco J. Romero-Ramirez, Miguel Cazorla
Publikováno v:
Sensors
Volume 23
Issue 4
Pages: 2210
Volume 23
Issue 4
Pages: 2210
Environment landmarks are generally employed by visual SLAM (vSLAM) methods in the form of keypoints. However, these landmarks are unstable over time because they belong to areas that tend to change, e.g., shadows or moving objects. To solve this, so