22 citations · 53 across the 11 of their papers we have counts for
13 papers
Atlanta Scaled layouts from non-central panoramas
Bruno Berenguel-Baeta, Jesus Bermudez-Cameo, Jose J. Guerrero
In this work we present a novel approach for 3D layout recovery of indoor environments using a non-central acquisition system. From a non-central panorama, full and scaled 3D lines…
Floor extraction and door detection for visually impaired guidance
Bruno Berenguel-Baeta, Manuel Guerrero-Viu, Alejandro de Nova +3
Finding obstacle-free paths in unknown environments is a big navigation issue for visually impaired people and autonomous robots. Previous works focus on obstacle avoidance, howeve…
Bayesian Deep Learning for Affordance Segmentation in images
Lorenzo Mur-Labadia, Ruben Martinez-Cantin, Jose J. Guerrero
Affordances are a fundamental concept in robotics since they relate available actions for an agent depending on its sensory-motor capabilities and the environment. We present a nov…
Assessing visual acuity in visual prostheses through a virtual-reality system
Melani Sanchez-Garcia, Roberto Morollon-Ruiz, Ruben Martinez-Cantin +2
Current visual implants still provide very low resolution and limited field of view, thus limiting visual acuity in implanted patients. Developments of new strategies of artificial…
Semantic Pose Verification for Outdoor Visual Localization with Self-supervised Contrastive Learning
Semih Orhan, Jose J. Guerrero, Yalin Bastanlar
Any city-scale visual localization system has to overcome long-term appearance changes, such as varying illumination conditions or seasonal changes between query and database image…
Augmented reality navigation system for visual prosthesis
Melani Sanchez-Garcia, Alejandro Perez-Yus, Ruben Martinez-Cantin +1
The visual functions of visual prostheses such as field of view, resolution and dynamic range, seriously restrict the person's ability to navigate in unknown environments. Implante…
Unsupervised Learning of Category-Specific Symmetric 3D Keypoints from Point Sets
Clara Fernandez-Labrador, Ajad Chhatkuli, Danda Pani Paudel +3
Automatic discovery of category-specific 3D keypoints from a collection of objects of some category is a challenging problem. One reason is that not all objects in a category neces…
What's in my Room? Object Recognition on Indoor Panoramic Images
Julia Guerrero-Viu, Clara Fernandez-Labrador, Cédric Demonceaux +1
In the last few years, there has been a growing interest in taking advantage of the 360 panoramic images potential, while managing the new challenges they imply. While several task…
Corners for Layout: End-to-End Layout Recovery from 360 Images
Clara Fernandez-Labrador, Jose M. Facil, Alejandro Perez-Yus +3
The problem of 3D layout recovery in indoor scenes has been a core research topic for over a decade. However, there are still several major challenges that remain unsolved. Among t…
Semantic and structural image segmentation for prosthetic vision
Melani Sanchez-Garcia, Ruben Martinez-Cantin, Jose J. Guerrero
Prosthetic vision is being applied to partially recover the retinal stimulation of visually impaired people. However, the phosphenic images produced by the implants have very limit…
PanoRoom: From the Sphere to the 3D Layout
Clara Fernandez-Labrador, Jose M. Facil, Alejandro Perez-Yus +2
We propose a novel FCN able to work with omnidirectional images that outputs accurate probability maps representing the main structure of indoor scenes, which is able to generalize…
RGBiD-SLAM for Accurate Real-time Localisation and 3D Mapping
Daniel Gutierrez-Gomez, Jose J. Guerrero
In this paper we present a complete SLAM system for RGB-D cameras, namely RGB-iD SLAM. The presented approach is a dense direct SLAM method with the main characteristic of working…
Layouts from Panoramic Images with Geometry and Deep Learning
Clara Fernandez-Labrador, Alejandro Perez-Yus, Gonzalo Lopez-Nicolas +1
In this paper, we propose a novel procedure for 3D layout recovery of indoor scenes from single 360 degrees panoramic images. With such images, all scene is seen at once, allowing…