PROJ-H402

Description: This project aims to generate the depth maps of dense datasets such as a 5x5 multi-view image from a plenoptic camera using state-of-the-art deep learning stereo matching methods and understand their limitations. Plenoptic cameras can capture 3D light-fields thanks to their structure which has a micro-lens array between the main lens and the sensor plane. Middle-bury stereo datasets should be tested to check if the techniques are applicable. Finally, extracted plenoptic multi-view images will be tested.

Contact the project supervisor for more details.

Programming language: Python.

Supervisor: Hamed Razavi Khosroshahi, hamed.razavi.khosroshahi@ulb.be

Director: Mehrdad Teratani, mehrdad.teratani@ulb.be