GLOH (Gradient Location and Orientation Histogram) is a robust
image descriptor
An image or picture is a visual representation. An image can be two-dimensional, such as a drawing, painting, or photograph, or three-dimensional, such as a carving or sculpture. Images may be displayed through other media, including a project ...
that can be used in
computer vision
Computer vision tasks include methods for image sensor, acquiring, Image processing, processing, Image analysis, analyzing, and understanding digital images, and extraction of high-dimensional data from the real world in order to produce numerical ...
tasks. It is a
SIFT-like descriptor that considers more spatial regions for the
histograms
A histogram is a visual representation of the distribution of quantitative data. To construct a histogram, the first step is to "bin" (or "bucket") the range of values— divide the entire range of values into a series of intervals—and then ...
. 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 Linear map, linear dimensionality reduction technique with applications in exploratory data analysis, visualization and Data Preprocessing, data preprocessing.
The data is linear map, linearly transformed ...
(PCA) is then used to reduce the vector size to 128 (same size as SIFT descriptor vector).
See also
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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, ...
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Speeded Up Robust Features
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LESH – Local Energy-based Shape Histogram
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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 ...
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)
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