Direct vision sensor for 3D computer vision, digital...

Image analysis – Image enhancement or restoration – Image filter

Reexamination Certificate

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C382S274000, C382S275000, C358S003260, C358S003270

Reexamination Certificate

active

07577309

ABSTRACT:
A method and apparatus for directly sensing both the focused image and the three-dimensional shape of a scene are disclosed. This invention is based on a novel mathematical transform named Rao Transform (RT) and its inverse (IRT). RT and IRT are used for accurately modeling the forward and reverse image formation process in a camera as a linear shift-variant integral operation. Multiple images recorded by a camera with different camera parameter settings are processed to obtain 3D scene information. This 3D scene information is used in computer vision applications and as input to a virtual digital camera which computes a digital still image. This same 3D information for a time-varying scene can be used by a virtual video camera to compute and produce digital video data.

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P. Favaro and S. Soatto, in “A geometric approach to shape from defocus” (http://www.vision.cs.ucla.edu/papers/favaroSoatto05PAMI.pdf), IEEE Transactions on Patt. Anal. and Mach. Intell., vol. 27, No. 3, Mar. 2005, pp. 406-417.
S. Chaudhuri and A. Rajagopalan, “Depth from defocus: a real aperture imaging approach”, Springer Verlag, 1999, ISBN 0387986359.

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