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翻訳と辞書　辞書検索 [ 開発暫定版 ] スポンサード リンク Hessian affine region detector ： ウィキペディア英語版 Hessian affine region detector The Hessian affine region detector is a feature detector used in the fields of computer vision and image analysis. Like other feature detectors, the Hessian affine detector is typically used as a preprocessing step to algorithms that rely on identifiable, characteristic interest points. The Hessian affine detector is part of the subclass of feature detectors known as ''affine-invariant'' detectors: Harris affine region detector, Hessian affine regions, maximally stable extremal regions, Kadir–Brady saliency detector, edge-based regions (EBR) and intensity-extrema-based (IBR) regions. ==Algorithm description== The Hessian affine detector algorithm is almost identical to the Harris affine region detector. In fact, both algorithms were derived by (Krystian Mikolajczyk ) and (Cordelia Schmid ) in 2002, 〔(Mikolajczyk, K. and Schmid, C. 2002. An affine invariant interest point detector. In ''Proceedings of the 8th International Conference on Computer Vision'', Vancouver, Canada. )〕 based on earlier work in,〔(Lindeberg, Tony. "Feature detection with automatic scale selection", International Journal of Computer Vision, 30, 2, pp. 77-116, 1998. )〕 see also 〔 〕 for a more general overview. 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Hessian affine region detector」の詳細全文を読む スポンサード リンク 翻訳と辞書 : 翻訳のためのインターネットリソース Copyright(C) kotoba.ne.jp 1997-2016. All Rights Reserved.