Title :
Photometric motion
Author_Institution :
Media Lab., MIT, Cambridge, MA, USA
fDate :
9/1/1991 12:00:00 AM
Abstract :
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
Keywords :
pattern recognition; picture processing; 3D shape recovery; geometric distortion; geometric motion; photometric motion; picture processing; reflectance; structure-motion algorithms; Biomedical optical imaging; Geometrical optics; Image motion analysis; Motion analysis; Nonlinear optics; Optical distortion; Optical variables control; Photometry; Reflectivity; Shape;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on