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In the fields of computer vision and image analysis, the scale-invariant feature operator (or SFOP) is an algorithm to detect local features in images...

The scale-invariant feature transform (SIFT) is a computer vision algorithm to detect, describe, and match local features in images, invented by David...

characteristic length scale. In quantum field theory, scale invariance has an interpretation in terms of particle physics. In a scale-invariant theory, the strength...

The interest points obtained from the multi-scale Harris operator with automatic scale selection are invariant to translations, rotations and uniform rescalings...

directions) at scale-adapted interest points obtained from scale-space extrema of the normalized Laplacian operator (see also scale-invariant feature transform)...

difference-of-Gaussian operator and the scale-normalized Laplacian operator. This approach is for instance used in the scale-invariant feature transform (SIFT) algorithm—see...

The Sobel operator, sometimes called the Sobel–Feldman operator or Sobel filter, is used in image processing and computer vision, particularly within...

feature vector. Among the approaches that are used to feature description, one can mention N-jets and local histograms (see scale-invariant feature transform...

The Canny edge detector is an edge detection operator that uses a multi-stage algorithm to detect a wide range of edges in images. It was developed by...

reformulation of Canny's method from the viewpoint of differential invariants computed from a scale space representation leading to a number of advantages in terms...

Sobel operator Laplace operator Roberts Cross Edge detection Feature detection (computer vision) Digital image processing Computer vision Feature extraction...

classification, or 3D reconstruction. It is partly inspired by the scale-invariant feature transform (SIFT) descriptor. The standard version of SURF is several...

global continuous symmetry, scale invariance generates a conversed Weyl current according to Noether’s theorem. In scale-invariant cosmological models, this...

This method is similar to that of edge orientation histograms, scale-invariant feature transform descriptors, and shape contexts, but differs in that...

Scale-invariant feature transform (SIFT) Gradient Location and Orientation Histogram LESH - Local Energy based Shape Histogram Blob detection Feature...

can refer to a relativistically invariant classical or quantum theory of scalar fields. A scalar field is invariant under any Lorentz transformation...

neural network OpenCV Scale-invariant feature transform (SIFT) Object detection Scholarpedia article on scale-invariant feature transform and related...

descriptors is for them to be invariant under certain transformations. For rigid transformations, commonly used feature descriptors include shape context...

Laplace–Beltrami operator to compare and analyze geometric shapes. Since the spectrum of the Laplace–Beltrami operator is invariant under isometries,...

approach in blob detection. Blob detection Gaussian pyramid Scale space Scale-invariant feature transform "Molecular Expressions Microscopy Primer: Digital...