@inproceedings{a2f5c493951f4d42b1e52fb9124b97c4,
title = "Direct differential range estimation using optical masks",
abstract = "We describe a novel formulation of the range recovery problem, based on computation of the differential variation in image intensities with respect to changes in camera position. The method uses a single stationary camera and a pair of calibrated optical masks to directly measure this differential quantity. The subsequent computation of the range image is simple and should be suitable for real-time implementation. We also describe a variant of this technique, based on direct measurement of the differential change in image intensities with respect to aperture size. These methods are comparable in accuracy to other single-lens ranging techniques. We demonstrate the potential of our approach with a simple example.",
author = "Simoncelli, {Eero P.} and Hany Farid",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 1996.; 4th European Conference on Computer Vision, ECCV 1996 ; Conference date: 15-04-1996 Through 18-04-1996",
year = "1996",
doi = "10.1007/3-540-61123-1_129",
language = "English (US)",
isbn = "3540611231",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "82--93",
editor = "Bernard Buxton and Roberto Cipolla",
booktitle = "Computer Vision – ECCV 1996 - 4th European Conference on Computer Vision, Proceedings",
}