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 |
DNr: |
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: |
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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.