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Image processing / Digital geometry / Physics / Optical flow / Motion estimation / Signal processing


CONTRAST INVARIANT AND AFFINE SUB-PIXEL OPTICAL FLOW Neus Sabater, S´ebastien Leprince, and Jean-Philippe Avouac Geological and Planetary Sciences Division California Institute of Technology {sabater, leprincs}@caltech.
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Document Date: 2014-04-24 14:08:59


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SIAM Journal / GPU / Microsoft / /

Currency

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Facility

Keck Institute / Planetary Sciences Division California Institute of Technology / /

IndustryTerm

remote sensing applications / local and sub-pixel algorithm / precise sub-pixel algorithms / dense area-based sub-pixel image matching algorithm / parallel computing / satellite stereoscopic images / parametric motion estimation algorithm / stereo correspondence algorithms / distributed computing / real satellite / satellite images / energy / /

Organization

Betty Moore Foundation / California Institute of Technology / Artificial Intelligence / Keck Institute for Space Studies / /

Person

S. S. Beauchemin / Jean-Philippe Avouac / D. J. Fleet / J. L. Barron / /

Product

Pentax K-x Digital Camera / /

Technology

Visual Computing / dense two-frame stereo correspondence algorithms / remote sensing / precise sub-pixel algorithms / local and sub-pixel algorithm / same algorithm / CIAO algorithm / parametric motion estimation algorithm / dense area-based sub-pixel image matching algorithm / /

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