MaLightFieldDepthEstimation

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

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


Students.ProjectForm
Title: Depth estimation in Light Field Microscopy
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.
Student:  
Director: Tobias Lasser
Supervisor: Anca Stefanoiu
Type: DA/MA/BA
Area:  
Status: open
Start:  
Finish:  
Thesis (optional):  
Picture:  


Edit | Attach | Refresh | Diffs | More | Revision r1.1 - 29 Jan 2019 - 17:47 - AncaStefanoiu