Alfonso López Ruiz

Alfonso López Ruiz
Universidad de Jaén | UJAEN · Department of Computer Sciences

MSc Computer Science
Predoctoral Fellow and Assistant Professor at the University of Jaén.

About

14
Publications
2,128
Reads
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44
Citations
Citations since 2016
14 Research Items
44 Citations
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201620172018201920202021202205101520253035
201620172018201920202021202205101520253035
Introduction
I'm mainly interested in GPGPU, Computer Graphics applications and image processing algorithms in the Remote Sensing field. I'm currently working on the simulation of sensors using the GPU and the fusion and analysis of multiple image sources.
Additional affiliations
February 2020 - September 2020
Universidad de Jaén
Position
  • Beca de formación
Description
  • Desarrollo de tareas de investigación en el grupo de Gráficos y Geomática de la Universidad de Jaén. Simulación de escaneados 3D en GPU.
November 2018 - June 2019
Universidad de Jaén
Position
  • Beca de colaboración con departamentos universitarios
Description
  • Desarrollo de tareas de investigación en el grupo de Gráficos y Geomática de la Universidad de Jaén. Prototipo de control avanzado de grandes plantaciones mediante teledetección.
Education
November 2020 - November 2024
Universidad de Jaén
Field of study
  • Ph.D. in Information and Communication Technologies
October 2019 - December 2020
Universidad de Jaén
Field of study
September 2015 - June 2019
Universidad de Jaén
Field of study
  • Information Technologies. Computer Graphics.

Publications

Publications (14)
Article
Multiple types of images provide useful information about a crop, but image fusion is still a challenge in Precision Agriculture (PA). We describe a framework which manages a multi-layer registration model of heterogeneous images obtained by an unmanned aerial vehicle (UAV) by proposing pair-to-pair steps through a registration method invariant to...
Article
Full-text available
Thermal infrared (TIR) images acquired from Unmanned Aircraft Vehicles (UAV) are gaining scientific interest in a wide variety of fields. However, the reconstruction of three-dimensional (3D) point clouds utilizing consumer-grade TIR images presents multiple drawbacks as a consequence of low-resolution and induced aberrations. Consequently, these p...
Article
Full-text available
In this work, we present an efficient GPU-based LiDAR scanner simulator. Laser-based scanning is a useful tool for applications ranging from reverse engineering or quality control at an object scale to large-scale environmental monitoring or topographic mapping. Beyond that, other specific applications require a large amount of LiDAR data during de...
Conference Paper
Full-text available
This work describes an efficient approach for generating large 3D thermal point clouds considering the occlusion of camera viewpoints. For that purpose, RGB and thermal imagery are first corrected and fused with an intensity correlation-based algorithm. Then, absolute temperature values are obtained from the normalized data. Finally, thermal imager...
Poster
Full-text available
The generation of realistic natural scenarios is a longstanding and ongoing challenge in Computer Graphics. A common source of real-environmental scenarios is open point cloud datasets acquired by LiDAR (Laser Imaging Detection and Ranging) devices. However, these data have low density and are not able to provide sufficiently detailed environments....
Article
Full-text available
The reconstruction of tree branching structures is a longstanding problem in Computer Graphics which has been studied over several data sources, from photogrammetry point clouds to Terrestrial and Aerial Laser Imaging Detection and Ranging technology. However, most data sources present acquisition errors that make the reconstruction more challengin...
Article
Full-text available
Three-dimensional (3D) image mapping of real-world scenarios has a great potential to provide the user with a more accurate scene understanding. This will enable, among others, unsupervised automatic sampling of meaningful material classes from the target area for adaptive semi-supervised deep learning techniques. This path is already being taken b...
Conference Paper
Full-text available
The generation of realistic natural scenarios is a longstanding and ongoing challenge in Computer Graphics. LiDAR (Laser Imaging Detection and Ranging) point clouds have been gaining interest for the representation and analysis of real-world scenarios. However, the output of these sensors is conditioned by several parameters, including, but not lim...
Article
Full-text available
Hyperspectral data are being increasingly used for the characterization and understanding of real-world scenarios. In this field, UAV-based sensors bring the opportunity to collect multiple samples from different viewpoints. Thus, light-material interactions of real objects may be observed in outdoor scenarios with a significant spatial resolution...
Article
Full-text available
The widespread use of LiDAR technologies has led to an ever-increasing volume of captured data that pose a continuous challenge for its storage and organization, so that it can be efficiently processed and analyzed. Although the use of system files in formats such as LAS/LAZ is the most common solution for LiDAR data storage, databases are gaining...
Conference Paper
Full-text available
This paper presents a GPU-based LiDAR simulator to generate large datasets of ground-truth point clouds. LiDAR technology has significantly increased its impact on academic and industrial environments. However, some of its applications require a large amount of annotated LiDAR data. Furthermore, there exist many types of LiDAR sensors. Therefore, d...
Conference Paper
Full-text available
Figure 1: Performance comparison: OpenGL and CUDA implementations for a dataset of 271 million points and 1352 different viewpoints. Abstract Three-dimensional point clouds have conventionally been used along with several sources of information. This fusion can be performed by projecting the point cloud into the image plane and retrieving additiona...
Conference Paper
Full-text available
El problema denominado Intrinsic Image Decomposition sigue siendo un desafío por resolver en informática gráfica. Aunque el uso de arquitecturas de aprendizaje profundo supondría un avance significativo, los conjuntos de datos de entrenamiento utilizados son aún reducidos. En este estudio se presenta una metodología para la generación de imágenes y...
Conference Paper
Full-text available
Multi-lens multispectral cameras allow us to record multispectral information for a whole area of terrain, even though we may only need the vegetation data. Based on the intensity of each multispectral image we can retrieve the contours of the trees that appear on the recorded terrain. However, multispectral cameras use a physically different lens...

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