Range estimation by optical differentiation

Journal of the Optical Society of America. A, Optics, Image Science, and Vision
H Farid, E P Simoncelli

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. This method uses a single stationary camera and a pair of calibrated optical masks to measure this differential quantity directly. We also describe a variant based on changes in aperture size. The subsequent computation of the range image involves simple arithmetic operations and is suitable for real-time implementation. We present the theory of this technique and show results from a prototype camera that we have constructed.

References

Oct 10, 1994·Applied Optics·E R Dowski, W T Cathey
Apr 1, 1987·IEEE Transactions on Pattern Analysis and Machine Intelligence·A P Pentland

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Citations

Mar 21, 2012·Artificial Organs·Hossein Mahvash MohammadiMohamad Sawan
Mar 23, 2011·IEEE Transactions on Pattern Analysis and Machine Intelligence·Samuel W Hasinoff, Kiriakos N Kutulakos
Aug 2, 2012·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·S Derin BabacanAggelos K Katsaggelos
Oct 30, 2019·Proceedings of the National Academy of Sciences of the United States of America·Qi GuoTodd Zickler
May 19, 2005·Journal of the Optical Society of America. A, Optics, Image Science, and Vision·Anatoly Litvinov, Yoav Y Schechner
Jun 3, 2008·Applied Optics·Javier GarcíaYevgeny Beiderman
Sep 15, 2015·Optics Express·Eunsung LeeJoonki Paik

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