Master thesis on deep neural networks for the blind camera calibration problem
Title: Master thesis on deep neural networks for the blind camera calibration problem
SNIC Project: Berzelius-2022-40
Project Type: LiU Berzelius
Principal Investigator: Emil Brissman <emil.brissman@liu.se>
Affiliation: Linköpings universitet
Duration: 2022-02-18 – 2022-09-01
Classification: 10207
Keywords:

Abstract

Master thesis student investigating the blind camera calibration problem. That is, from 2D and 3D input data, learn 2D-3D correspondenses. From learned correspondenses, optimize for rotation, translation and distorsion.