Local energy-based shape histogram: Difference between revisions

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It was well praised without proper justification. Descriptor has not been extensively evaluated yet, but it only appeared in some conference.
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'''LESH (Local Energy based Shape Histogram)''' is a robustrecently proposed image descriptor that can be used in computer vision tasks. It can be used to get an efficient 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 well, 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-dimentional 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.
 
'''LESH''' (hindu name) meaning shine, sparkle, glow, shimmer.