GLOH
Encyclopedia
GLOH 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).
Computer vision
Computer vision is a field that includes methods for acquiring, processing, analysing, and understanding images and, in general, high-dimensional data from the real world in order to produce numerical or symbolic information, e.g., in the forms of decisions...
tasks. It is a SIFT
Scale-invariant feature transform
Scale-invariant feature transform is an algorithm in computer vision to detect and describe local features in images. The algorithm was published by David Lowe in 1999....
-like descriptor that considers more spatial regions for the histograms. The higher dimensionality of the descriptor is reduced to 64 through principal components analysis
Principal components analysis
Principal component analysis is a mathematical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of uncorrelated variables called principal components. The number of principal components is less than or equal to...
(PCA).
See also
- Scale-invariant feature transformScale-invariant feature transformScale-invariant feature transform is an algorithm in computer vision to detect and describe local features in images. The algorithm was published by David Lowe in 1999....
- Speeded Up Robust Features SurfSurf is the wave activity in the area between the shoreline and outer limit of breakers. It may refer to a breaking wave in shallow water, upon the shore, or in the area in which waves breakSurf also may refer to:Commercial products...
- LESH - Local Energy based Shape HistogramLESHLESH is a recently proposed image descriptor in computer vision. It can be used to get a description of the underlying shape. The LESH feature descriptor is built on local energy model of feature perception, see e.g. phase congruency for more details...
- Feature detection (computer vision)