@InProceedings{JorgeCharco2018,
author="Jorge Charco
and Boris X. Vintimilla
and Angel Sappa",
title="Deep learning based camera pose estimation in multi-view environment",
booktitle="14th IEEE International Conference on Signal Image Technology \& Internet Based System",
year="2018",
optkeywords="Deep learning",
optkeywords="Camera pose estimation",
optkeywords="Multiview environment",
optkeywords="Siamese architecture",
abstract="This paper proposes to use a deep learning network architecture for relative camera pose estimation on a multi-view environment. The proposed network is a variant architecture of AlexNet to use as regressor for prediction the relative translation and rotation as output. The proposed approach is trained fromscratch on a large data set that takes as input a pair of imagesfrom the same scene. This new architecture is compared with a previous approach using standard metrics, obtaining better results on the relative camera pose.",
optnote="MSIAU; 600.086; 600.130; 600.122",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=3194), last updated on Tue, 25 Apr 2023 14:05:16 +0200",
file=":http://refbase.cvc.uab.es/files/CVS2018.pdf:PDF"
}