no code implementations • 22 Mar 2021 • Hamid Sarmadi, Rafael Muñoz-Salinas, M. Álvaro Berbís, Antonio Luna, Rafael Medina-Carnicer
METHODS: The proposed method relies on a 3D reconstruction approach that fuses, in real-time, artificial and natural visual landmarks recorded from a hand-held RGB-D sensor.
1 code implementation • 16 Mar 2021 • Hamid Sarmadi, Rafael Muñoz-Salinas, M. A. Berbís, R. Medina-Carnicer
From a video sequence showing a rigid set of planar markers recorded from multiple cameras, the proposed method is able to automatically obtain the three-dimensional configuration of the markers, the extrinsic parameters of the cameras, and the relative pose between the markers and the cameras at each frame.
no code implementations • 11 Dec 2020 • Hamid Sarmadi, Rafael Muñoz-Salinas, Miguel A. Olivares-Mendez, Rafael Medina-Carnicer
We detect the edges of the markers by detecting line segments in an image created from events in the current packet.
1 code implementation • 3 Nov 2020 • Rafael Berral-Soler, Francisco J. Madrid-Cuevas, Rafael Muñoz-Salinas, Manuel J. Marín-Jiménez
In this work, we address this problem, defined here as the estimation of both vertical (tilt/pitch) and horizontal (pan/yaw) angles, through the use of a single Convolutional Neural Network (ConvNet) model, trying to balance precision and inference speed in order to maximize its usability in real-world applications.
no code implementations • 5 Oct 2020 • Hamid Sarmadi, Rafael Muñoz-Salinas, M. Álvaro Berbís, Antonio Luna, R. Medina-Carnicer
Up to our knowledge, this is the first framework that can be employed for mobile interactive AR to guide patient positioning.
1 code implementation • 14 Jul 2018 • Manuel J. Marin-Jimenez, Francisco J. Romero-Ramirez, Rafael Muñoz-Salinas, Rafael Medina-Carnicer
This work addresses the problem of 3D human pose estimation from depth maps employing a Deep Learning approach.
1 code implementation • 1 Jun 2016 • Rafael Muñoz-Salinas, Manuel J. Marín-Jimenez, Enrique Yeguas-Bolivar, Rafael Medina-Carnicer
Squared planar markers are a popular tool for fast, accurate and robust camera localization, but its use is frequently limited to a single marker, or at most, to a small set of them for which their relative pose is known beforehand.