A linear signal decomposition approach to affine invariant contour identification
作者： David Cyganski , Richard F. Vaz
DOI: 10.1016/0031-3203(95)00060-7
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摘要: Means for the identification of objects from contours despite affine transform induced distortions using a linear signal space decomposition are described. This technique also yields robust estimates 3-D rotations near planar object. The ability to determine object identity and orientation single model representation without iteration or combinatorial search proceeds use invariant differential measures derived via Lie group theory. is extremely owing error rejection properties projections. Results illustrating resilience solutions in presence severe non-affine distortion pixelization given.
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