Developing a stereo camera calibration code using stellar objects
Rusen Oktem, Project Scientist
Earth and Planetary Science
Closed. This professor is continuing with Fall 2023 apprentices on this project; no new apprentices needed for Spring 2024.
The goal of this project is to develop a stereo camera calibration code that will use stellar objects as references. We have multiple stereo cameras that are installed in the field collecting data on atmospheric clouds. We need to use known locations of objects to calibrate these cameras for stereo reconstruction. The cameras are positioned to capture the clouds and stellar objects such as bright stars and planets are the most dependable objects we can use. We have a python code that performs stereo calibration when the locations of the stellar objects are manually entered. Our aim is to improve this code so that it will run automatically with minimal manual intervention.
Role: Tasks include learning how to use software packages that determines the position of stellar objects and implement image processing algorithms to detect bright stellar objects in night time image sequences.
Qualifications: Experience with programming in python is required. Prior exposure to numerical analysis and linear systems will be helpful.
Hours: to be negotiated
Related website: https://www.arm.gov/capabilities/instruments/stereocam
Related website: https://romps.berkeley.edu/papers/pubs-2011-velocity.html