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16 relations: Analysis of algorithms, Categorization, Digital image, Dimension, Face, Feature (computer vision), Haar wavelet, Lookup table, Outline of object recognition, Pattern recognition, Pixel, RGB color model, Round-off error, SIGGRAPH, Summed-area table, Viola–Jones object detection framework.
Analysis of algorithms
In computer science, the analysis of algorithms is the determination of the computational complexity of algorithms, that is the amount of time, storage and/or other resources necessary to execute them.
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Categorization
Categorization is the process in which ideas and objects are recognized, differentiated, and understood.
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Digital image
A digital image is a numeric representation, normally binary, of a two-dimensional image.
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Dimension
In physics and mathematics, the dimension of a mathematical space (or object) is informally defined as the minimum number of coordinates needed to specify any point within it.
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Face
The face is a central body region of sense and is also very central in the expression of emotion among humans and among numerous other species.
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Feature (computer vision)
In computer vision and image processing, a feature is a piece of information which is relevant for solving the computational task related to a certain application.
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Haar wavelet
In mathematics, the Haar wavelet is a sequence of rescaled "square-shaped" functions which together form a wavelet family or basis.
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Lookup table
In computer science, a lookup table is an array that replaces runtime computation with a simpler array indexing operation.
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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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Pattern recognition
Pattern recognition is a branch of machine learning that focuses on the recognition of patterns and regularities in data, although it is in some cases considered to be nearly synonymous with machine learning.
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Pixel
In digital imaging, a pixel, pel, dots, or picture element is a physical point in a raster image, or the smallest addressable element in an all points addressable display device; so it is the smallest controllable element of a picture represented on the screen.
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RGB color model
The RGB color model is an additive color model in which red, green and blue light are added together in various ways to reproduce a broad array of colors.
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Round-off error
A round-off error, also called rounding error, is the difference between the calculated approximation of a number and its exact mathematical value due to rounding.
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SIGGRAPH
SIGGRAPH (Special Interest Group on Computer GRAPHics and Interactive Techniques) is the annual conference on computer graphics (CG) convened by the ACM SIGGRAPH organization.
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Summed-area table
A summed-area table is a data structure and algorithm for quickly and efficiently generating the sum of values in a rectangular subset of a grid.
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Viola–Jones object detection framework
The Viola–Jones object detection framework is the first object detection framework to provide competitive object detection rates in real-time proposed in 2001 by Paul Viola and Michael Jones.
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