29 research outputs found
Beyond Controlled Environments: 3D Camera Re-Localization in Changing Indoor Scenes
Long-term camera re-localization is an important task with numerous computer
vision and robotics applications. Whilst various outdoor benchmarks exist that
target lighting, weather and seasonal changes, far less attention has been paid
to appearance changes that occur indoors. This has led to a mismatch between
popular indoor benchmarks, which focus on static scenes, and indoor
environments that are of interest for many real-world applications. In this
paper, we adapt 3RScan - a recently introduced indoor RGB-D dataset designed
for object instance re-localization - to create RIO10, a new long-term camera
re-localization benchmark focused on indoor scenes. We propose new metrics for
evaluating camera re-localization and explore how state-of-the-art camera
re-localizers perform according to these metrics. We also examine in detail how
different types of scene change affect the performance of different methods,
based on novel ways of detecting such changes in a given RGB-D frame. Our
results clearly show that long-term indoor re-localization is an unsolved
problem. Our benchmark and tools are publicly available at
waldjohannau.github.io/RIO10Comment: ECCV 2020, project website https://waldjohannau.github.io/RIO1
Appearance-invariant place recognition by adversarially learning disentangled representation
Looking for the more favourable similarity between graphic images
The processes of a projective nature, through the construction of images, both rigor-ous and expressive, make it possible to translate the spatial qualities and figurative properties of the space that surrounds us on the level of design, making it possible for those who read the image, the recognition of the object of the space. The model that is created, as a conventional image of objective reality, uses a linguistic code with a precise system of rules. The work presented here, in tents, illustrates, within the code of projective transformations, that operation that transforms on the plane (or rather on a plane π ≡ π’) the same relations that exist between the figures in the perspecti-ve, the homology, understood as the process capable of creating an image in which the original one is recognizable in its transformed, preserves its characteristics, and from it we are able to re-cognize, backwards, the initial image
Looking for the More Favourable Similarity Between Graphic Images
The processes of a projective nature, through the construction of
images, both rigorous and expressive, make it possible to translate the spatial
qualities and figurative properties of the space that surrounds us on the level of
design, making it possible for those who read the image, the recognition of the
object of the space. The model that is created, as a conventional image of
objective reality, uses a linguistic code with a precise system of rules. The work
presented here, in tents, illustrates, within the code of projective transformations,
that operation that transforms on the plane (or rather on a plane p p’) the
same relations that exist between the figures in the perspective, the homology,
understood as the process capable of creating an image in which the original one
is recognizable in its transformed, preserves its characteristics, and from it we
are able to recognize, backwards, the initial image
Mapas de suelos de las provincias de Zaragoza, Huesca y Logroño. Memoria explicativa
Escala 1: 250.000.-- Descripción de suelos.-- Contiene mapas al final.Dentro de la línea de trabajo sobre clasificación y cartografía de suelos del Instituto Nacional de Edafología, aparece ahora el estudio de los suelos y su representación cartográfica a escala 1:250.000 de las provincias de Logroño, Zaragoza y Huesca.Peer reviewe
Teledetección y SIG en la Planificación Ambiental. El ejemplo de Espinoso del Rey
V Reunión Científica de la Asociación Española de Teledetección, Las Palmas de Gran Canaria, España, 10-12 de Noviembre.Peer reviewe
The relationship between real and illusory architecture: survey and analysis of the ex-refectory of Orsoline's convent in Rome
The subject of this work is the study of perspective scenes frescoed in the ex-refectory of an important cloister in the centre of Rome, with the aim of understanding the relationship between real and illusory space through a combination of architectural survey techniques
Automatic Virtual Reconstruction of Historic Buildings Through Deep Learning. A Critical Analysis of a Paradigm Shift
New advances in the field of artificial intelligence propose to rethink methodologies in many areas of knowledge. In the field of Architectural Heritage studies, the virtual reconstruction of historical buildings in ruins has maintained the same analysis methodology for centuries. New technologies have been adding tools to the reconstruction process, which still depends on the theoretical assumption of a specialist. However, the development of neural networks (Deep Learning) is proposing a radical change in the analysis and reconstruction methodology. The proposal described as automatic virtual reconstruction uses Generative Adversarial Networks (GAN) and Natural Processing Language (NPL) technology for training networks and learning patterns of a specific architectural style. A comparative study of the two methods can enlighten on the possibilities that will emerge in the coming years. This paradigm shift in the virtual reconstruction of historic buildings can revolutionize, from a scientific and informative point of view, the way of understanding and interpreting architectural heritage