A new method for pattern recognition that is invariant under
changes of position, orientation, intensity, and scale is
presented. The centroids of objects provide unique points that are
related to the energy distribution. For obtaining more such unique
points a conformal transform can be used to rearrange the energy
distribution of the object. By means of the conformal transform
many different centroids can be produced from the same object. A
useful pattern-recognition and object-registration method that yields a
position-, rotation-, intensity-, and scale-invariant feature vector
based on these centroids can be created.
© 2000 Optical Society of America
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