Katrin Shier was born in Jena in 1988 and studied Electrical and Information Engineering at the Karlsruhe Institute of Technology (KIT). She received her Master’s Degree in 2014 with the focus on optical technologies. And in 2015 she joined Hella as a development specialist for image processing algorithms for fully automated adjustment processes and quality control in headlamp production. At the beginning of 2020 she started her PhD project at the Laboratory for Automotive Lighting and Mechatronics (L-LAB) on the topic of luminance non-uniformity evaluations in headlamp light distributions. Since March 2023 she is employed as a pre-development specialist for human perception.
At the end of the ISAL congress, Katrin received from Wolfgang Huhn the award of best lecture, given by the steering committee and the audience. Because this lecture was in the parallel session in ISAL, and because it seemed to have great interest, we proposed to Katrin to write a synthesis for our newsletter, that you can find at the end of this newsletter, and she graciously agreed to this as well as our interview.
DVN: Why did you choose to study this topic of “Enhancement of a Contrast Threshold Prediction – Model by the Implementation of the Dual Tree Complex Wavelet Transform”?
Katrin Shier: As a development specialist for image processing methods for automated in-line testing, non-uniformity evaluations were always a topic my team and I had to tackle. Converting the task a human can do without great effort into image processing algorithms did not succeed as a generalized approach. The evaluations were product specific and hence had to be re-developed for specific products. This made me curious about why the task is so difficult and triggered the ambition to tackle the problem. Additionally I believe that the human visual system is really fascinating and choosing the topic as a PhD thesis gave me the opportunity to dig more deeply into the details.
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