no code implementations • 26 Mar 2024 • Hanz Cuevas-Velasquez, Alejandro Galán-Cuenca, Antonio Javier Gallego, Marcelo Saval-Calvo, Robert B. Fisher
In this paper, we present ReLaTo (Registration for Large Transformations), an architecture that faces the cases where large transformations happen while maintaining good performance for local transformations.
no code implementations • 18 Jan 2024 • Alejandro Galán-Cuenca, Antonio Javier Gallego, Marcelo Saval-Calvo, Antonio Pertusa
For this, we propose a methodology based on Siamese neural networks in which a series of techniques are integrated to mitigate the effects of data scarcity and distribution imbalance.
no code implementations • 2 Jul 2020 • Andrés Fuster-Guilló, Jorge Azorín-López, Marcelo Saval-Calvo, Juan Miguel Castillo-Zaragoza, Nahuel Garcia-DUrso, Robert B. Fisher
The 3D body models will be used for studying the effect of visualization on adherence to obesity treatment using 2D and VR devices.
no code implementations • 6 Mar 2020 • Victor Villena-Martinez, Sergiu Oprea, Marcelo Saval-Calvo, Jorge Azorin-Lopez, Andres Fuster-Guillo, Robert B. Fisher
Recent advancements in machine learning could be a turning point in these issues, particularly with the development of deep learning (DL) techniques, which are helping to improve multiple computer vision problems through an abstract understanding of the input data.
no code implementations • 6 Mar 2018 • Hanz Cuevas-Velasquez, Nanbo Li, Radim Tylecek, Marcelo Saval-Calvo, Robert B. Fisher
A Master supervisor task selects between using the EtoH or the EinH, depending on the distance between the robot and target.
no code implementations • 5 Feb 2018 • Marcelo Saval-Calvo, Jorge Azorin-Lopez, Andres Fuster-Guillo, Victor Villena-Martinez, Robert B. Fisher
Evaluation is performed using synthetic and real data.
no code implementations • 4 Aug 2017 • Marcelo Saval-Calvo, Jorge Azorin-Lopez, Andres Fuster-Guillo, Higinio Mora-Mora
Experiments have been performed using synthetic and real data.
no code implementations • 3 Aug 2017 • Marcelo Saval-Calvo, Jorge Azorin-Lopez, Andres Fuster-Guillo, Jose Garcia-Rodriguez
Plane model extraction from three-dimensional point clouds is a necessary step in many different applications such as planar object reconstruction, indoor mapping and indoor localization.
no code implementations • 1 Aug 2017 • Christos Maniatis, Marcelo Saval-Calvo, Radim Tylecek, Robert B. Fisher
The problem of finding a next best viewpoint for 3D modeling or scene mapping has been explored in computer vision over the last decade.