Recognition Using Multiband Filtered Energy Matrices
L. Wang and G. Healey
We present an energy matrix representation for multiband images which
captures spatial and spectral properties. Using a physical model for
spectral reflectance, we derive a pseudoinverse method for the comparison
of energy matrices which is invariant to the spectral properties of the
scene illumination. At the same time, this method determines the
illumination change matrix allowing direct comparison of images obtained
under different illumination conditions. We demonstrate the
performance of the method for both illumination-invariant recognition and
illumination correction on a large set of multiband images. The energy
matrices are generated using a small set of oriented steerable filters.
We also demonstrate that a related set of rotationally symmetric filters
can be used for recognition invariant to both illumination and rotation
and that subsequent processing can be used to recover the rotation angle
of a recognized object.
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