| M. Ferraro and R. M. Caelli, "Lie transform groups, integral transforms, and invariant pattern recognition," Spatial Vis., vol. 8, no. 1, pp. 33--44, 1994. |
....Fourier or Fourier Mellin spectrums. The terms absolute and strong refer to the fact that all information about an image except that of position, orientation, or scale is preserved. This may be important for recognition tasks, especially if the library of objects is large. Ferraro and Caelli [20] discuss this issue in more detail. While strong invariance might be required in an object recognition application, we do not believe that this property is necessary for watermarking applications. From a strongly invariant representation, an image can be fully reconstructed modulo rotation, ....
M. Ferraro and R. M. Caelli, "Lie transform groups, integral transforms, and invariant pattern recognition," Spatial Vis., vol. 8, no. 1, pp. 33--44, 1994.
....Fourier or Fourier Mellin spectrums. The terms absolute and strong refer to the fact that all information about an image except that of position, orientation or scale is preserved. This may be important for recognition tasks, especially if the library of objects is large. Ferraro and Caelli [41] 118 discuss this issue in more detail. However, we do not believe that strong invariants are necessary for watermarking applications. It is important to realize that watermark detection is different from the general problem of recognizing an object. First, an N bit watermark only requires ....
M. Ferraro and R. M. Caelli, "Lie Transform Groups, Integral Transforms, and InvariantPattern Recognition," Spatial Vision,Vol. 8, No. 1, pp. 33-44, 1994.
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M. Ferraro and R. M. Caelli, "Lie transform groups, integral transforms, and invariant pattern recognition," Spatial Vision 8(1), pp. 33--44, 1994.
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