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Learning to calibrate an event camera
This work will address intrinsic calibration of event cameras, a fundamental problem for application of event cameras to many computer vision tasks, by incorporating deep learning.
Keywords: Event cameras, Computer vision, 3D
Camera calibration is an important prerequisite for 3D computer vision tasks.
Calibration techniques currently used for event cameras require a special calibration target with blinking pattern.
This project focuses on developing a toolkit to calibrate an event camera using deep learning methods. The project will build on state of the art deep learning techniques for events and evaluate on camera calibration task.
Camera calibration is an important prerequisite for 3D computer vision tasks. Calibration techniques currently used for event cameras require a special calibration target with blinking pattern. This project focuses on developing a toolkit to calibrate an event camera using deep learning methods. The project will build on state of the art deep learning techniques for events and evaluate on camera calibration task.
The goal of this project is to develop and evaluate deep learning tools for event camera for the task of calibration.
The goal of this project is to develop and evaluate deep learning tools for event camera for the task of calibration.