Hypothesis support mechanism for mid-level visual pattern...

Image analysis – Pattern recognition – Feature extraction

Reexamination Certificate

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Reexamination Certificate

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10750629

ABSTRACT:
A method of mid-level pattern recognition provides for a pose invariant Hough Transform by parametrizing pairs of points in a pattern with respect to at least two reference points, thereby providing a parameter table that is scale- or rotation-invariant. A corresponding inverse transform may be applied to test hypothesized matches in an image and a distance transform utilized to quantify the level of match.

REFERENCES:
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patent: 2002/0057838 (2002-05-01), Steger
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Akio Kimura and Takashi Watanabe., “An Extension of the Generalized Hough Transform to Realize Affine-Invariant Two-dimensional(2D) Shape Detection” IEEE 2002.
Kimura, Akio, “Generalized Hough Transform to be Extended as an Affine-invariant Detector of Arbitary Shapes,” IEICE, vol. J84-D-II, No. 5 2001. (in Japanese).
Kimura, Akio, “Fast Generalized Hough Transform that Improves its Robustness of Shape Detection,” IEICE, vol. J83-D-II, No. 5, 2000. (in Japanese).

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