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An ''N''-jet is the set of (partial) derivatives of a function f(x) up to order ''N''. Specifically, in the area of computer vision, the ''N''-jet is usually computed from a
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. It is a formal theor ...
representation L of the input image f(x, y), and the partial derivatives of L are used as a basis for expressing various types of visual modules. For example, algorithms for tasks such as feature detection, feature classification, stereo matching, tracking and object recognition can be expressed in terms of ''N''-jets computed at one or several scales in scale space.


See also

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Scale space implementation In the areas of computer vision, image analysis and signal processing, the notion of scale-space representation is used for processing measurement data at multiple scales, and specifically enhance or suppress image features over different ranges o ...
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Jet (mathematics) In mathematics, the jet is an operation that takes a differentiable function ''f'' and produces a polynomial, the truncated Taylor polynomial of ''f'', at each point of its domain. Although this is the definition of a jet, the theory of jets regard ...


References

Computer vision Image processing {{mathanalysis-stub