Photo of Wolfgang Heidrich
  • Source: Scopus
  • Calculated based on no. of publications stored in Pure and citations from Scopus
19952020

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Personal profile

Research Overview

Professor Heidrich's core research interests are in computational photography and display, an emerging research area within visual computing, which combines methods from computer graphics, machine vision, imaging, inverse methods, optics and perception to develop new sensing and display technologies. Computational photography aims to develop new cameras and imaging modalities that optically encode information about the real world in such a way that it can be captured by image sensors. The resulting images represent detailed information such as scene geometry, motion of solids and liquids, multi-spectral information, or high contrast (high dynamic range), which can then be computationally decoded using inverse methods, machine learning, and numerical optimization. Computational displays use a similar approach, but in reverse. Here, the goal is to computationally encode a target image that is then optically decoded by the display hardware for presentation to a human observer. Computational displays are capable of generating glasses-free 3D displays, high dynamic range imagery, or images and videos with spatial and/or temporal super-resolution.

Key Research Areas

Electrical Engineering

Expertise related to UN SDGs

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 9 - Industry, Innovation, and Infrastructure
  • SDG 11 - Sustainable Cities and Communities

Education

Ph.D., Friedrich-Alexander University Erlangen-Nürnberg

1999

Award Date: Jan 1 1999

Mathematics, M.S., University of Waterloo

1996

Award Date: Jan 1 1996

Computer Science, Diploma, Friedrich-Alexander University Erlangen-Nürnberg

1995

Award Date: Jan 1 1995

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