Wolfgang Heidrich
Kootenay Association for Science & Technology, University of British Columbia
Papers
4
Total Citations
573
H-Index
4
About
Wolfgang Heidrich is a pioneering figure in computational imaging and computer graphics, whose work spans from fundamental theory to applied optics. His research focuses on computational cameras, high dynamic range (HDR) imaging, and depth sensing, where he has made transformative contributions. Heidrich’s seminal paper on "Viewpoint Selection using Viewpoint Entropy" (2001, 317 citations) introduced a principled, information-theoretic approach to automatically choosing optimal camera angles, a concept now foundational in fields from robotics to image-based rendering. He also co-authored a landmark study on the flight mechanics of wandering albatrosses (2012, 107 citations), revealing how these birds achieve near-zero mechanical energy cost through dynamic soaring—a cross-disciplinary insight that bridged biology and physics. More recently, his work on "Learning Rank-1 Diffractive Optics for Single-Shot High Dynamic Range Imaging" (2020, 90 citations) demonstrates a novel, learning-based approach to HDR capture, enabling robust performance in dynamic scenes for autonomous driving and mobile photography. Heidrich’s impact is further underscored by his contributions to multi-camera time-of-flight systems (2016, 59 citations), advancing depth sensing for AR/VR and robotics. His career exemplifies how deep theoretical insight, combined with practical engineering, can reshape imaging technology.
Research Focus
Key Achievements
Top Papers
- 1Viewpoint Selection using Viewpoint Entropy317 citations · 2001
- 2
- 3
- 4Computational imaging with multi-camera time-of-flight systems59 citations · 2016