In the Summer Semester 2018 we will present some aspects of the science of computational imaging. Below you can find a list with all the topics. Everybody can add some information/supplement material
| # | Date | Presenter | Topic |
| 1 | 11.4.2018 | ||
| 2 | 18.4.2018 | Benedict Diederich | Introduction to Tensorflow, Modelling physical problems in Tensorflow (inverse Problems) using auto-differentiation |
| 3 | 25.4.2018 | Sönke Ziemer | Deconvolution in Tensorflow |
| 4 | 2.5.2018 | Rainer Heintzmann | Generic Inverse Problems (genericDeconv-Toolbox), CudaMAT and DIP_Image |
| 5 | 9.5.2018 | Patrick Then, Christian Karras | Python: Controlling Hardware (Micromanager) |
| 6 | 16.5.2018 | no seminar! | |
| 7 | 23.5.2018 | Benedict Diederich | Cellphone Imaging – RAW and compressed images, Tensorprocessing Units from Nvidia? NPU from Cellphones? |
| 8 | 30.5.2018 | Philipp Praetorius, Sönke Ziemer | Basics in Image Classification and Segmentation |
| 9 | 6.6.2018 | Fengjao Ma, Rainer Heintzmann | Introduction to JULIA, Toy Examples in JULIA |
| 10 | 13.6.2018 | Andreas Kleiber | Introduction to KNIME |
| 11 | 20.6.2018 | Rainer Heintzmann | Radon Transformation, Models for Generation PSFs in a microscope |
| 12 | 27.6.2018 | Rainer Heintzmann, Markus Schiffler |
Basics in CUDA-programming
|
| 13 | 4.7.2018 | Fengjao Ma | Deconvolution in JULIA |
| 14 | 11.7.2018 | Thomas Henkel | Inline Image Analsysis and Camera capturing with Java/OpenCV |
2 – 18.4.2018
Benedict Diederich – Introduction to Tensorflow, Modelling physical problems in Tensorflow (inverse Problems) using auto-differentiation
The example for least squares in Tensorflow can be found here:
The slides for the first tensorflow introduction tutorial can be found here:
3 – 25.4.2018
Sönke Ziemer: Deconvolution in Tensorflow
5 – 9.5.2018
Patrick Then: (Micromanager)
Christian Karras: Python: Controlling Hardware
Xavier Uruwukundo: Prototyping and Communicating with I2C
6 – 16.5.2018 – Basics in Cuda Programming
Rainer Heintzmann & Markus Schiffler