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Automatic Image Orientation Determination with Natural Image Statistics
Siwei Lyu
Dartmouth TR2005-545

Abstract: In this paper, we propose a new method for automatically determining image orientations. This method is based on a set of natural image statistics collected from a multi-scale multi-orientation image decomposition (e.g., wavelets). From these statistics, a two-stage hierarchal classification with multiple binary SVM classifiers is employed to de- termine image orientation. The proposed method is evaluated and compared to existing methods with experiments performed on 18040 natural images, where it showed promising performance.


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   Siwei Lyu, "Automatic Image Orientation Determination with Natural Image Statistics." Dartmouth Computer Science Technical Report TR2005-545, October 2004.


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