TY  - CONF
AU  - Jorge Charco
AU  - Boris X. Vintimilla
AU  - Angel Sappa
A2  - SITIS
PY  - 2018//
TI  - Deep learning based camera pose estimation in multi-view environment
BT  - 14th IEEE International Conference on Signal Image Technology & Internet Based System
KW  - Deep learning
KW  - Camera pose estimation
KW  - Multiview environment
KW  - Siamese architecture
N2  - 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.
L1  - http://refbase.cvc.uab.es/files/CVS2018.pdf
N1  - MSIAU; 600.086; 600.130; 600.122
ID  - Jorge Charco2018
ER  -