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Issue No.09 - September (1991 vol.13)
pp: 879-890
<p>The author compares the photometric effects of motion (which is defined as the variation of a point's imaged intensity as a consequence of motion) and the geometric effects of motion (which is defined as the variation in projected surface geometry as a consequence of motion). It is shown that photometric motion provides a cue to surface shape that is potentially as useful as that provided by geometric motion. A simple technique for using this photometric motion information to extract both surface shape and reflectance is developed, and a biological implementation is proposed. How this photometric motion mechanism can be integrated with and used to enhance existing structure-motion algorithms is discussed. Intensity information is sometimes even more important than geometric distortion when estimating the shape of a single, continuous surface that is rotating relative to the observer's frame of reference.</p>
3D shape recovery; geometric motion; picture processing; photometric motion; reflectance; structure-motion algorithms; geometric distortion; pattern recognition; picture processing
A. Pentland, "Photometric Motion", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol.13, no. 9, pp. 879-890, September 1991, doi:10.1109/34.93807
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