Local energy-based shape histogram

LESH (Local Energy based Shape Histogram) is a robust 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. 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. The LESH features can be used in applications like shape-based image retrieval, object detection, pose estimation etc.

More details can be found in the related publication.

See also

• Scale-invariant feature transform
• Speeded Up Robust Features
• Gradient Location Orientation Histogram

References

• Sarfraz, S., Hellwich, O.:"Head Pose Estimation in Face Recognition across Pose Scenarios", Proceedings of VISAPP 2008, Int. conference on Computer Vision Theory and Applications, Madeira, Portugal, pp. 235-242, January 2008 (Best Student Paper Award).