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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.
Bibliographic citation for this report: [plain text] [BIB] [BibTeX] [Refer]
Or copy and paste:
Siwei Lyu, "Automatic Image Orientation Determination with Natural Image Statistics." Dartmouth Computer Science Technical Report TR2005-545, October 2004.
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