J
Jannick P. Rolland
Researcher at The Institute of Optics
Publications - 543
Citations - 14517
Jannick P. Rolland is an academic researcher from The Institute of Optics. The author has contributed to research in topics: Optical coherence tomography & Augmented reality. The author has an hindex of 57, co-authored 522 publications receiving 13087 citations. Previous affiliations of Jannick P. Rolland include University of Rochester & University of Arizona.
Papers
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Journal ArticleDOI
TFOS DEWS II Tear Film Report
Mark D. P. Willcox,Pablo Argüeso,Georgi As. Georgiev,Juha M. Holopainen,Gordon W. Laurie,Tom J. Millar,Eric B. Papas,Jannick P. Rolland,Tannin A. Schmidt,Ulrike Stahl,Tatiana Suarez,Lakshman N. Subbaraman,Ömür Ö. Uçakhan,Lyndon Jones +13 more
TL;DR: The members of the Tear Film Subcommittee reviewed the role of the tear film in dry eye disease (DED), biophysical and biochemical aspects of tears and how these change in DED and recommended areas for future research.
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Head-worn displays: a review
Ozan Cakmakci,Jannick P. Rolland +1 more
TL;DR: This paper summarizes the state-of-the-art in head-worn display design (HWD) and development and summarizes the results from previous design work using aspheric, diffractive, or holographic elements to achieve compact and lightweight systems.
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Model observers for assessment of image quality
TL;DR: This paper considers the task of detection of a weak signal in a noisy image and suggests the Hotelling model with channels as a useful model observer for the purpose of assessing and optimizing image quality with respect to simple detection tasks.
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Optical Versus Video See-Through Head-Mounted Displays in Medical Visualization
Jannick P. Rolland,Henry Fuchs +1 more
TL;DR: This work compares two technological approaches to augmented reality for 3-D medical visualization: optical and video see-through devices, as well as hybrid optical/video technology.
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Effect of random background inhomogeneity on observer detection performance.
TL;DR: The results of this study compared with earlier theoretical predictions by Myers et al. for two observer models: the optimum linear discriminant, also known as the Hotelling observer, and a nonprewhitening matched filter, which fails to predict human performance in lumpy backgrounds.