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Alejandro Pérez-Yus

4 accepted papers

2020

Corners for Layout: End-to-End Layout Recovery From 360 Images

RA-L 2020

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 the most relevant ones, a major part of the state-of-the-art methods make implicit or explicit assumptions on the scenes

Cited by 111SourceScholar
2018

Extrinsic Calibration of Multiple RGB-D Cameras From Line Observations

RA-L 2018

This letter presents a novel method to estimate the relative poses between RGB and depth cameras without the requirement of an overlapping field of view, thus providing flexibility to calibrate a variety of sensor configurations. This calibration problem is relevant to robotic applications that can

Cited by 24SourceScholar
2018

Layouts From Panoramic Images With Geometry and Deep Learning

RA-L 2018

In this letter, we propose a novel procedure for three-dimensional layout recovery of indoor scenes from single 360° panoramic images. With such images, all scene is seen at once, allowing us to recover closed geometries. Our method combines strategically the accuracy provided by geometric reasoning

Cited by 38SourceScholar