Local energy-based shape histogram: Difference between revisions

Revision as of 20:13, 6 June 2008

Revision as of 22:38, 10 July 2008

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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-dimentionaldimensional 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.

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* [[Feature detection (computer vision)]]

* [[Scale-invariant feature transform]]

* [[SURF | Speeded Up Robust Features ]]

* [[GLOH | Gradient Location Orientation Histogram]]

== References ==