GLOH

From Wikipedia, the free encyclopedia

GLOH (Gradient Location and Orientation Histogram) is a robust image descriptor that can be used in computer vision tasks. It is a SIFT-like descriptor that considers more spatial regions for the histograms. The higher dimensionality of the descriptor is reduced to 64 through principal components analysis (PCA).

[edit] See also

• Scale-invariant feature transform
• Speeded Up Robust Features
• LESH - Local Energy based Shape Histogram
• Feature detection (computer vision)

[edit] References

• Krystian Mikolajczyk and Cordelia Schmid "A performance evaluation of local descriptors", IEEE Transactions on Pattern Analysis and Machine Intelligence, 10, 27, pp 1615--1630, 2005.