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Histogram Of Oriented Gradients
The histogram of oriented gradients (HOG) is a feature descriptor used in computer vision and image processing for the purpose of object detection. The technique counts occurrences of gradient orientation in localized portions of an image. This method is similar to that of edge orientation histograms, scale-invariant feature transform descriptors, and shape contexts, but differs in that it is computed on a dense grid of uniformly spaced cells and uses overlapping local contrast normalization for improved accuracy. Robert K. McConnell of Wayland Research Inc. first described the concepts behind HOG without using the term HOG in a patent application in 1986. In 1994 the concepts were used by Mitsubishi Electric Research Laboratories. However, usage only became widespread in 2005 when Navneet Dalal and Bill Triggs, researchers for the French National Institute for Research in Computer Science and Automation (INRIA), presented their supplementary work on HOG descriptors at the ...
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Feature Descriptor
Feature may refer to: Computing * Feature recognition, could be a hole, pocket, or notch * Feature (computer vision), could be an edge, corner or blob * Feature (machine learning), in statistics: individual measurable properties of the phenomena being observed * Software feature, a distinguishing characteristic of a software program Science and analysis * Feature data, in geographic information systems, comprise information about an entity with a geographic location * Features, in audio signal processing, an aim to capture specific aspects of audio signals in a numeric way * Feature (archaeology), any dug, built, or dumped evidence of human activity Media * Feature film, a film with a running time long enough to be considered the principal or sole film to fill a program ** Feature length, the standardized length of such films * Feature story, a piece of non-fiction writing about news * Radio documentary (feature), a radio program devoted to covering a particular topic in som ...
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Image Derivatives
Image derivatives can be computed by using small convolution filters of size 2 × 2 or 3 × 3, such as the Laplacian, Sobel, Roberts and Prewitt operators. However, a larger mask will generally give a better approximation of the derivative and examples of such filters are Gaussian derivatives and Gabor filters. Sometimes high frequency noise needs to be removed and this can be incorporated in the filter so that the Gaussian kernel will act as a band pass filter. The use of Gabor filters in image processing has been motivated by some of its similarities to the perception in the human visual system. The pixel value is computed as a convolution : p'_u=\mathbf \ast G where \mathbf is the derivative kernel and G is the pixel values in a region of the image and \ast is the operator that performs the convolution. Sobel derivatives The derivative kernels, known as the Sobel operator are defined as follows, for the u and v directions respectively: : p'_u = \begi ...
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Hog Image04
Hog or HOG may refer to: Animals * Pig ** Sometimes referring to other animals in the family Suidae, including: *** Warthog *** Red river hog *** Giant forest hog * Groundhog * Hedgehog * Hog (sheep), a yearling sheep, as yet unshorn Other uses * Harley-Davidson, a motorcycle manufacturer ** Harley Owners Group * The Hogs (American football), a prior nickname for the offensive line of the Washington Redskins * Hogging and sagging, a nautical term * Hogging (sexual practice) * Higher order grammar * Histogram of oriented gradients, used in computer vision and image processing for the purpose of object detection * House of Guitars * Arkansas Razorbacks, the sports teams of the University of Arkansas * Frank País Airport, IATA symbol HOG * Hidden object game, a genre of casual puzzle games * Hogarthian or Hog, a scuba diving gear configuration pioneered by William Hogarth Main * Heart of Georgia Railroad, an American shortline railroad * French branch of the Armenian Relief Committe ...
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Hog Image03
Hog or HOG may refer to: Animals * Pig ** Sometimes referring to other animals in the family Suidae, including: *** Warthog *** Red river hog *** Giant forest hog * Groundhog * Hedgehog * Hog (sheep), a yearling sheep, as yet unshorn Other uses * Harley-Davidson, a motorcycle manufacturer ** Harley Owners Group * The Hogs (American football), a prior nickname for the offensive line of the Washington Redskins * Hogging and sagging, a nautical term * Hogging (sexual practice) * Higher order grammar * Histogram of oriented gradients, used in computer vision and image processing for the purpose of object detection * House of Guitars * Arkansas Razorbacks, the sports teams of the University of Arkansas * Frank País Airport, IATA symbol HOG * Hidden object game, a genre of casual puzzle games * Hogarthian or Hog, a scuba diving gear configuration pioneered by William Hogarth Main * Heart of Georgia Railroad, an American shortline railroad * French branch of the Armenian Relief Committ ...
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Massachusetts Institute Of Technology
The Massachusetts Institute of Technology (MIT) is a Private university, private research university in Cambridge, Massachusetts, United States. Established in 1861, MIT has played a significant role in the development of many areas of modern technology and science. In response to the increasing Technological and industrial history of the United States, industrialization of the United States, William Barton Rogers organized a school in Boston to create "useful knowledge." Initially funded by a land-grant universities, federal land grant, the institute adopted a Polytechnic, polytechnic model that stressed laboratory instruction in applied science and engineering. MIT moved from Boston to Cambridge in 1916 and grew rapidly through collaboration with private industry, military branches, and new federal basic research agencies, the formation of which was influenced by MIT faculty like Vannevar Bush. In the late twentieth century, MIT became a leading center for research in compu ...
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Principal Component Analysis
Principal component analysis (PCA) is a linear dimensionality reduction technique with applications in exploratory data analysis, visualization and data preprocessing. The data is linearly transformed onto a new coordinate system such that the directions (principal components) capturing the largest variation in the data can be easily identified. The principal components of a collection of points in a real coordinate space are a sequence of p unit vectors, where the i-th vector is the direction of a line that best fits the data while being orthogonal to the first i-1 vectors. Here, a best-fitting line is defined as one that minimizes the average squared perpendicular distance from the points to the line. These directions (i.e., principal components) constitute an orthonormal basis in which different individual dimensions of the data are linearly uncorrelated. Many studies use the first two principal components in order to plot the data in two dimensions and to visually identi ...
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Haar Wavelet
Haar may refer to: * Haar (fog), fog or sea mist (Scottish English) * Haar, Bavaria, a city near Munich, Germany * Haar (Westphalia), a hill range in North Rhine-Westphalia, Germany People with the surname * Alfréd Haar (1885–1933), Hungarian mathematician * Jarrod Haar, New Zealand organisational psychology academic See also * De Haar (other) * Haar wavelet, the first wavelet * Haar measure, a set-theoretic measure * Haar-like feature, a technique in computer vision * Haarr Haarr is a Norwegian surname. Notable people with the surname include: * Elisabeth Haarr (1945–2025), Norwegian artist * Margrethe Haarr (born 1985), Norwegian politician Norwegian-language surnames {{Short pages monitor [Baidu]   [Amazon]


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PCA-SIFT
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, image stitching, 3D modeling, gesture recognition, video tracking, individual identification of wildlife and match moving. SIFT keypoints of objects are first extracted from a set of reference images and stored in a database. An object is recognized in a new image by individually comparing each feature from the new image to this database and finding candidate matching features based on Euclidean distance of their feature vectors. From the full set of matches, subsets of keypoints that agree on the object and its location, scale, and orientation in the new image are identified to filter out good matches. The determination of consistent clusters is performed rapidly by using an efficient hash table implementation of the generalised Hough transf ...
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Generalized Haar Wavelet
A generalization is a form of abstraction whereby common properties of specific instances are formulated as general concepts or claims. Generalizations posit the existence of a domain or set theory, set of elements, as well as one or more common characteristics shared by those elements (thus creating a conceptual model). As such, they are the essential basis of all valid deductive inferences (particularly in logic, mathematics and science), where the process of falsifiability, verification is necessary to determine whether a generalization holds true for any given situation. Generalization can also be used to refer to the process of identifying the parts of a whole, as belonging to the whole. The parts, which might be unrelated when left on their own, may be brought together as a group, hence belonging to the whole by establishing a common relation between them. However, the parts cannot be generalized into a whole—until a common relation is established among ''all'' parts. T ...
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