This talk unveils the underlying physical and computational concept of the Lytro-type plenoptic camera in a concise and simplified manner while presenting an open-source software tool capable of rendering light field photogaphs.
Plenoptic cameras and their ability to change focus and perspective view after the fact has intrigued scientists, programmers, photographers and tech-hobbyists world-wide. With this presentation, the fundamentals of a light field captured by a plenoptic camera are provided to a broader audience without requiring prior knowledge of such. It is of primary interest to raise awareness of this technology and invite peers to contribute to presented open-source software tool [PlenoptiCam](https://github.com/hahnec/plenopticam). More technical details and further educational material is found on my research website https://www.plenoptic.info.
This open-source application is meant to help understand mechanisms of a plenoptic camera and to support at their conceptual development stage. It can be downloaded from GitHub or run on my research website. The groundwork for this project was laid in my doctoral thesis.
While being a research fellow at Brunel University as well as the University of Bedfordshire, I came up with the Standard Plenoptic Ray Tracing Model which describes light rays travelling through a plenoptic camera. Based on geometrical optics, the proposed model helps understand the idea of computational refocusing and estimating the refocusing distance just as determining the baseline of the camera. Besides, related work on this project presented the first hardware architecture to accomplish real-time refocusing for a plenoptic camera.
I have been working for Pepperl+Fuchs GmbH since March 2019.
Short stay to finish off research projects on plenoptic cameras.
In February 2016, I joined the trinamiX GmbH which is a wholly owned subsidiary of BASF. Founded in 2015, trinamiX aims at delevoping cutting edge 3D camera technology. My responsibilities included research on optical imaging and image processing.
Development of a software application which first acquires geometrical information about a captured scene and then provides physical distances to the user. The work was commissioned by Morrison Utility Services.
During undergraduate studies at the University of Applied Sciences (HAW) in Hamburg, I began my professional career as an intern in R&D departments of companies such as Rohde & Schwarz, where I was evaluating digital video transmission protocols, and Arnold & Richter (ARRI) starting with research on plenoptic cameras.
After graduating in 2012, I enrolled for a guest studentship at Brunel University in West London. This led to an MPhil course, supervised by Prof. Amar Aggoun, to pursue plenoptic camera research with the development of an FPGA based refocusing technique.
To accompany my doctoral advisor Amar, I subsequently transferred to the University of Bedfordshire in 2013 where I continued studies in a bursary-funded PhD programme. My current research interests still comprise theoretical and practical benefits of 3D camera technologies, but have been extended to other depth sensing techniques.
“A good engineer thinks in reverse and asks himself about the stylistic consequences of the components and systems he proposes.” Helmut Jahn