GLOH (Gradient Location and Orientation Histogram) is a robust
image descriptor that can be used in
computer vision
Computer vision is an interdisciplinary scientific field that deals with how computers can gain high-level understanding from digital images or videos. From the perspective of engineering, it seeks to understand and automate tasks that the hum ...
tasks. It is a
SIFT-like descriptor that considers more spatial regions for the
histograms
A histogram is an approximate representation of the frequency distribution, distribution of numerical data. The term was first introduced by Karl Pearson. To construct a histogram, the first step is to "Data binning, bin" (or "Data binning, buck ...
. An intermediate vector is computed from 17 location and 16 orientation bins, for a total of 272-dimensions.
Principal components analysis
Principal component analysis (PCA) is a popular technique for analyzing large datasets containing a high number of dimensions/features per observation, increasing the interpretability of data while preserving the maximum amount of information, and ...
(PCA) is then used to reduce the vector size to 128 (same size as SIFT descriptor vector).
See also
*
Scale-invariant feature transform
The scale-invariant feature transform (SIFT) is a computer vision algorithm to detect, describe, and match local ''features'' in images, invented by David Lowe in 1999.
Applications include object recognition, robotic mapping and navigation, ima ...
*
Speeded Up Robust Features
*
LESH – Local Energy-based Shape Histogram
*
Feature detection (computer vision)
In computer vision and image processing, a feature is a piece of information about the content of an image; typically about whether a certain region of the image has certain properties. Features may be specific structures in the image such as poi ...
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.
Feature detection (computer vision)
{{comp-sci-stub