A virtual model of Barcelona in the XVIII century

Peer Reviewe

A virtual model of Barcelona in the XVIII century

Peer Reviewe

Una Contribución a la modelización y virtualización numérica de estructuras arquitectónicas

Esta tesis aborda el tema de la generación, modelización y virtualización de estructuras arquitectónicas, con aplicación práctica a edificios históricos.Es caracteristico de este tipo de estructuras, la gran comlejidad geométrica que se materializa entre múltiples interrelaciones de las muchas morfologías parciales.La metodología esencial de esta investigación es el estudio de edificios en su totalidad, mediante una modelizción laminar por Elementos Finitos.En resumen, el esquema de objetivos de la tesis en su solución definitiva es el siguiente: Análisis lineal del edificio del Sagrario de la Catedral de la ciudad de México, como una unidad global asimilando cada una de sus partes a láminas.Finalmente la conveniencia de poder observar el sólido virtual tensionado de una forma dinámica y ágil ha creado la necesidad de desarrollar un programa de virtualización numérica (mediante el lenguaje VRML) de sólidos estructurales absolutamente novedosa y que constituye uno de los logros de este trabajo

Virtual reality models for the structural assessment of architectural heritage buildings

Peer ReviewedPreprin

Methodology to reconstruc virtual cities from the past

Postprint (published version

3D human pose estimation from depth maps using a deep combination of poses

Many real-world applications require the estimation of human body joints for higher-level tasks as, for example, human behaviour understanding. In recent years, depth sensors have become a popular approach to obtain three-dimensional information. The depth maps generated by these sensors provide information that can be employed to disambiguate the poses observed in two-dimensional images. This work addresses the problem of 3D human pose estimation from depth maps employing a Deep Learning approach. We propose a model, named Deep Depth Pose (DDP), which receives a depth map containing a person and a set of predefined 3D prototype poses and returns the 3D position of the body joints of the person. In particular, DDP is defined as a ConvNet that computes the specific weights needed to linearly combine the prototypes for the given input. We have thoroughly evaluated DDP on the challenging 'ITOP' and 'UBC3V' datasets, which respectively depict realistic and synthetic samples, defining a new state-of-the-art on them.Comment: Accepted for publication at "Journal of Visual Communication and Image Representation

Exergy analysis for hotels in the Dominican Republic: current situation

Postprint (published version

Tourism trends in the Caribbean

The Caribbean is a great holiday destination, along with Europe, Asia and South America. But it is one of the regions that depend more economically on the touristic sector. That is why there is a need to innovate and reinvent the touristic offer constantly. Throughout the years, tendencies and tourism types has changed and developed, adapting to the market and clients expectations. Beach hotel, all inclusive hotel offers, mountain tourism, hiking, ecotourism, city tourism, are some of the types of tourism that we highlight in this region. !owadays, in seeking to expand the offer to the clients, the hotels have included some variations in the services, such as Spas, golf, convention centers, big casinos, etc. The aim of this paper is to list the latest tendencies in hotel design and services in the Caribbean Region, and highlight its progresses in energy efficiency and sustainable design.Peer Reviewe

sSLAM: Speeded-Up Visual SLAM Mixing Artificial Markers and Temporary Keypoints

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, some other authors have proposed the combination of keypoints and artificial markers distributed in the environment so as to facilitate the tracking process in the long run. Artificial markers are special elements (similar to beacons) that can be permanently placed in the environment to facilitate tracking. In any case, these systems keep a set of keypoints that is not likely to be reused, thus unnecessarily increasing the computing time required for tracking. This paper proposes a novel visual SLAM approach that efficiently combines keypoints and artificial markers, allowing for a substantial reduction in the computing time and memory required without noticeably degrading the tracking accuracy. In the first stage, our system creates a map of the environment using both keypoints and artificial markers, but once the map is created, the keypoints are removed and only the markers are kept. Thus, our map stores only long-lasting features of the environment (i.e., the markers). Then, for localization purposes, our algorithm uses the marker information along with temporary keypoints created just in the time of tracking, which are removed after a while. Since our algorithm keeps only a small subset of recent keypoints, it is faster than the state-of-the-art vSLAM approaches. The experimental results show that our proposed sSLAM compares favorably with ORB-SLAM2, ORB-SLAM3, OpenVSLAM and UcoSLAM in terms of speed, without statistically significant differences in accuracy