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49 relations: Affine shape adaptation, Anisotropy, Autocorrelation, Blob detection, Box blur, Centroid, Computer vision, Correlation and dependence, Covariance matrix, Curvature, Determinant, Edge detection, Eigendecomposition of a matrix, Eigenvalues and eigenvectors, Feature detection (computer vision), Features from accelerated segment test, Fitness function, Gaussian function, Genetic programming, Harmonic mean, Hessian matrix, ID3 algorithm, Image derivatives, Image registration, Image stitching, Interest point detection, Interpolation, Isotropy, Kirsch operator, Linda Shapiro, Linux, Microsoft Windows, Midpoint circle algorithm, Motion detection, Outline of object recognition, Photographic mosaic, Precision (statistics), Rectangular function, Ridge detection, Scale space, Scale-invariant feature transform, Square root, Structure tensor, Taylor series, Trace (linear algebra), Twenty Questions, Video tracking, X86, 3D modeling.
Affine shape adaptation
Affine shape adaptation is a methodology for iteratively adapting the shape of the smoothing kernels in an affine group of smoothing kernels to the local image structure in neighbourhood region of a specific image point.
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Anisotropy
Anisotropy, is the property of being directionally dependent, which implies different properties in different directions, as opposed to isotropy.
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Autocorrelation
Autocorrelation, also known as serial correlation, is the correlation of a signal with a delayed copy of itself as a function of delay.
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Blob detection
In computer vision, blob detection methods are aimed at detecting regions in a digital image that differ in properties, such as brightness or color, compared to surrounding regions.
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Box blur
A box blur (also known as a box linear filter) is a spatial domain linear filter in which each pixel in the resulting image has a value equal to the average value of its neighboring pixels in the input image.
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Centroid
In mathematics and physics, the centroid or geometric center of a plane figure is the arithmetic mean position of all the points in the shape.
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Computer vision
Computer vision is a field that deals with how computers can be made for gaining high-level understanding from digital images or videos.
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Correlation and dependence
In statistics, dependence or association is any statistical relationship, whether causal or not, between two random variables or bivariate data.
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Covariance matrix
In probability theory and statistics, a covariance matrix (also known as dispersion matrix or variance–covariance matrix) is a matrix whose element in the i, j position is the covariance between the i-th and j-th elements of a random vector.
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Curvature
In mathematics, curvature is any of a number of loosely related concepts in different areas of geometry.
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Determinant
In linear algebra, the determinant is a value that can be computed from the elements of a square matrix.
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Edge detection
Edge detection includes a variety of mathematical methods that aim at identifying points in a digital image at which the image brightness changes sharply or, more formally, has discontinuities.
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Eigendecomposition of a matrix
In linear algebra, eigendecomposition or sometimes spectral decomposition is the factorization of a matrix into a canonical form, whereby the matrix is represented in terms of its eigenvalues and eigenvectors.
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Eigenvalues and eigenvectors
In linear algebra, an eigenvector or characteristic vector of a linear transformation is a non-zero vector that changes by only a scalar factor when that linear transformation is applied to it.
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Feature detection (computer vision)
In computer vision and image processing feature detection includes methods for computing abstractions of image information and making local decisions at every image point whether there is an image feature of a given type at that point or not.
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Features from accelerated segment test
Features from accelerated segment test (FAST) is a corner detection method, which could be used to extract feature points and later used to track and map objects in many computer vision tasks.
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Fitness function
A fitness function is a particular type of objective function that is used to summarise, as a single figure of merit, how close a given design solution is to achieving the set aims.
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Gaussian function
In mathematics, a Gaussian function, often simply referred to as a Gaussian, is a function of the form: for arbitrary real constants, and.
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Genetic programming
In artificial intelligence, genetic programming (GP) is a technique whereby computer programs are encoded as a set of genes that are then modified (evolved) using an evolutionary algorithm (often a genetic algorithm, "GA") – it is an application of (for example) genetic algorithms where the space of solutions consists of computer programs.
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Harmonic mean
In mathematics, the harmonic mean (sometimes called the subcontrary mean) is one of several kinds of average, and in particular one of the Pythagorean means.
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Hessian matrix
In mathematics, the Hessian matrix or Hessian is a square matrix of second-order partial derivatives of a scalar-valued function, or scalar field.
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ID3 algorithm
In decision tree learning, ID3 (Iterative Dichotomiser 3) is an algorithm invented by Ross Quinlan used to generate a decision tree from a dataset.
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Image derivatives
Image derivatives can be computed by using small convolution filters of size 2 x 2 or 3 x 3, such as the Laplacian, Sobel, Roberts and Prewitt operators.
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Image registration
Image registration is the process of transforming different sets of data into one coordinate system.
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Image stitching
Image stitching or photo stitching is the process of combining multiple photographic images with overlapping fields of view to produce a segmented panorama or high-resolution image.
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Interest point detection
Interest point detection is a recent terminology in computer vision that refers to the detection of interest points for subsequent processing.
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Interpolation
In the mathematical field of numerical analysis, interpolation is a method of constructing new data points within the range of a discrete set of known data points.
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Isotropy
Isotropy is uniformity in all orientations; it is derived from the Greek isos (ἴσος, "equal") and tropos (τρόπος, "way").
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Kirsch operator
The Kirsch operator or Kirsch compass kernel is a non-linear edge detector that finds the maximum edge strength in a few predetermined directions.
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Linda Shapiro
Linda G. Shapiro is a professor in the Department of Computer Science and Engineering, a Professor of Electrical Engineering, and Adjunct Professor of Biomedical Informatics and Medical Education at the University of Washington.
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Linux
Linux is a family of free and open-source software operating systems built around the Linux kernel.
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Microsoft Windows
Microsoft Windows is a group of several graphical operating system families, all of which are developed, marketed, and sold by Microsoft.
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Midpoint circle algorithm
In computer graphics, the midpoint circle algorithm is an algorithm used to determine the points needed for rasterizing a circle.
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Motion detection
Motion detection is the process of detecting a change in the position of an object relative to its surroundings or a change in the surroundings relative to an object.
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Outline of object recognition
The following outline is provided as an overview of and topical guide to object recognition: Object recognition – technology in the field of computer vision for finding and identifying objects in an image or video sequence.
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Photographic mosaic
In the field of photographic imaging, a photographic mosaic, also known under the term Photomosaic, a portmanteau of photo and mosaic, is a picture (usually a photograph) that has been divided into (usually equal sized) tiled sections, each of which is replaced with another photograph that matches the target photo.
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Precision (statistics)
In statistics, precision is the reciprocal of the variance, and the precision matrix (also known as concentration matrix) is the matrix inverse of the covariance matrix.
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Rectangular function
The rectangular function (also known as the rectangle function, rect function, Pi function, gate function, unit pulse, or the normalized boxcar function) is defined as: 0 & \mbox |t| > \frac \\ \frac & \mbox |t|.
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Ridge detection
Ridge detection is the attempt, via software, to locate ridges (or edges) in an image.
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Scale space
Scale-space theory is a framework for multi-scale signal representation developed by the computer vision, image processing and signal processing communities with complementary motivations from physics and biological vision.
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Scale-invariant feature transform
The scale-invariant feature transform (SIFT) is an algorithm in computer vision to detect and describe local features in images.
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Square root
In mathematics, a square root of a number a is a number y such that; in other words, a number y whose square (the result of multiplying the number by itself, or) is a. For example, 4 and −4 are square roots of 16 because.
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Structure tensor
In mathematics, the structure tensor, also referred to as the second-moment matrix, is a matrix derived from the gradient of a function.
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Taylor series
In mathematics, a Taylor series is a representation of a function as an infinite sum of terms that are calculated from the values of the function's derivatives at a single point.
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Trace (linear algebra)
In linear algebra, the trace of an n-by-n square matrix A is defined to be the sum of the elements on the main diagonal (the diagonal from the upper left to the lower right) of A, i.e., where aii denotes the entry on the ith row and ith column of A. The trace of a matrix is the sum of the (complex) eigenvalues, and it is invariant with respect to a change of basis.
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Twenty Questions
Twenty Questions is a spoken parlor game which encourages deductive reasoning and creativity.
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Video tracking
Video tracking is the process of locating a moving object (or multiple objects) over time using a camera.
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X86
x86 is a family of backward-compatible instruction set architectures based on the Intel 8086 CPU and its Intel 8088 variant.
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3D modeling
In 3D computer graphics, 3D modeling (or three-dimensional modeling) is the process of developing a mathematical representation of any surface of an object (either inanimate or living) in three dimensions via specialized software.
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Corner detector, Harris corner, Moravec corner detection algorithm, Shi-Tomasi.
References
[1] https://en.wikipedia.org/wiki/Corner_detection
