Hypothesis support mechanism for mid-level visual pattern recognition
作者： Jose J. Amador
DOI: 10.2174/1874479611104010030
关键词: Invariant (mathematics) 、 Artificial intelligence 、 Hough transform 、 Pattern recognition 、 Visual Pattern Recognition 、 Computer vision 、 Inverse 、 Distance transform 、 Computer science
摘要: A method of mid-level pattern recognition provides for a pose invariant Hough Transform by parametrizing pairs points in with respect to at least two reference points, thereby providing parameter table that is scale- or rotation-invariant. corresponding inverse transform may be applied test hypothesized matches an image and distance utilized quantify the level match.
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