Thesis: Depth estimation in Light Field Microscopy
Thesis by:
Advisor:
Tobias Lasser
Supervision by:
Anca Stefanoiu
Abstract
Light field microscopy is a scanless techniques for high speed 3D imaging of fluorescent specimens. A conventional microscope can be turned into a light field microscope by placing a microlens array in front of the camera, allowing for a full spatio-angular capture of the light field in a single snapshot. The recorded information can be arranged into multi-views and used to retrieve the depth map of the imaged scene.
Tasks
The aim of this thesis is to investigate and develop algorithms for depth estimation using correspondences and focus cues available in the light field data.
The algorithm shall be evaluated on both simulated and experimental light field microscopy data.
Requirements
Scientific programming, Matlab, C++
Contact