GLOH

GLOH(Gradient Location and Orientation Histogram) is a robustimage descriptorthat can be used incomputer visiontasks. It is aSIFT-like descriptor that considers more spatial regions for thehistograms.An intermediate vector is computed from 17 location and 16 orientation bins, for a total of 272-dimensions.Principal components analysis(PCA) is then used to reduce the vector size to 128 (same size as SIFT descriptor vector).

See also

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

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.