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'''LESH (Local Energy based Shape Histogram)''' is a recently proposed image descriptor in computer vision. It can be used to get a description of the underlying shape. The LESH feature descriptor is built on local energy model of feature perception, see e.g. [[phase congruency]] for more details. It encodes the underlying shape by accumulating local energy of the underlying signal along several filter orientations, several local [[histograms]] from different parts of the image/patch are generated and concatenated together into a 128-dimensional compact spatial histogram. It is designed to be [[scale invariant]]. The LESH features can be used in applications like shape-based image retrieval, object detection, pose estimation etc.
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