PT Unknown
AU Jorge Charco
   Boris X. Vintimilla
   Angel Sappa
TI Deep learning based camera pose estimation in multi-view environment
BT 14th IEEE International Conference on Signal Image Technology & Internet Based System
PY 2018
DE Deep learning; Camera pose estimation; Multiview environment; Siamese architecture
AB 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.
ER