Y. Avrithis, Y. Xirouhakis, and S. Kollias |
Affine-Invariant Curve Normalization for Shape-Based Retrieval |
International Conference on Pattern Recognition (ICPR 2000), Barcelona, Spain, September 2000 |
ABSTRACT
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A novel method for two-dimensional curve normalization with respect to affine transformations is presented in this paper, allowing an affine-invariant curve representation to be obtained without any actual loss of information on the original curve. It can be applied as a pre-processing step to any shape representation, classification, recognition or retrieval technique, since it effectively decouples the problem of affine-invariant description from feature extraction and pattern matching. Curves estimated from object contours are first modeled by cubic B-splines and then normalized in several steps in order to eliminate translation, scaling, skew, starting point, rotation and reflection transformations, based on a combination of curve features including moments and Fourier descriptors.
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01 September, 2000 |
Y. Avrithis, Y. Xirouhakis, and S. Kollias, "Affine-Invariant Curve Normalization for Shape-Based Retrieval", International Conference on Pattern Recognition (ICPR 2000), Barcelona, Spain, September 2000 |
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