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 regions, Hessian-Affine regions, Maximally stable extremal regions, Kadir Brady saliency regions, edge-based regions (EBR) and intensity extrema-based (IBR) regions.

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