Range estimation by optical differentiation.
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.
Farid
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Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge 02139, USA. farid@psyche.mit.edu
Simoncelli
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EP
D006801:Humans; D008962:Models, Theoretical; D055095:Optics and Photonics; D010781:Photography / Q000295:instrumentation