On digital approximation of moment invariants
Computer Vision, Graphics, and Image Processing
An approach to 3D pose determination
ACM Transactions on Graphics (TOG)
Cross-Weighted Moments and Affine Invariants for Image Registration and Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computer Vision and Image Understanding
Geometric invariant curve and surface normalization
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part II
ICA based normalization of 3d objects
MRCS'06 Proceedings of the 2006 international conference on Multimedia Content Representation, Classification and Security
Image registration by normalized mapping
Neurocomputing
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A tensor-based moment function method and a principal-axes method were investigated for registering 3-D test images to a standard image using translation, scale, and orientation. These methods were applied at two image resolutions to test discretization effects. At the higher resolution, both methods were found to perform well in cases where the test image could be described as an affine transform of the standard. At low resolutions, however, and when the test image was not an affine transform of the standard, only the principal-axes-based method performed adequately. The problem of quantifying the left ventricular function from gated blood pool single-photo emission computed tomographic images is considered.