Publication
Fat navigators and Moire phase tracking comparison for motion estimation and retrospective correction
Related concepts (34)
Cooperative
A cooperative (also known as co-operative, co-op, or coop) is "an autonomous association of persons united voluntarily to meet their common economic, social and cultural needs and aspirations through a jointly owned and democratically-controlled enterprise". Cooperatives are democratically controlled by their members, with each member having one vote in electing the board of directors.
Worker cooperative
A worker cooperative is a cooperative owned and self-managed by its workers. This control may mean a firm where every worker-owner participates in decision-making in a democratic fashion, or it may refer to one in which management is elected by every worker-owner who each have one vote. Worker cooperatives rose to prominence during the Industrial Revolution as part of the labour movement. As employment moved to industrial areas and job sectors declined, workers began organizing and controlling businesses for themselves.
Co-operative economics
Cooperative (or co-operative) economics is a field of economics that incorporates cooperative studies and political economy toward the study and management of cooperatives. History of the cooperative movement Cooperative economics developed as both a theory and a concrete alternative to industrial capitalism in the late 1700s and early 1800s. As such, it was a form of stateless socialism. The term "socialism," in fact, was coined in The Cooperative Magazine in 1827.
Consumers' co-operative
A consumers' co-operative is an enterprise owned by consumers and managed democratically and that aims at fulfilling the needs and aspirations of its members. Such co-operatives operate within the market system, independently of the state, as a form of mutual aid, oriented toward service rather than pecuniary profit. Consumers' cooperatives often take the form of retail outlets owned and operated by their consumers, such as food co-ops.
F-distribution
In probability theory and statistics, the F-distribution or F-ratio, also known as Snedecor's F distribution or the Fisher–Snedecor distribution (after Ronald Fisher and George W. Snedecor), is a continuous probability distribution that arises frequently as the null distribution of a test statistic, most notably in the analysis of variance (ANOVA) and other F-tests. The F-distribution with d1 and d2 degrees of freedom is the distribution of where and are independent random variables with chi-square distributions with respective degrees of freedom and .
Chi-squared distribution
In probability theory and statistics, the chi-squared distribution (also chi-square or -distribution) with degrees of freedom is the distribution of a sum of the squares of independent standard normal random variables. The chi-squared distribution is a special case of the gamma distribution and is one of the most widely used probability distributions in inferential statistics, notably in hypothesis testing and in construction of confidence intervals.
Normal distribution
In statistics, a normal distribution or Gaussian distribution is a type of continuous probability distribution for a real-valued random variable. The general form of its probability density function is The parameter is the mean or expectation of the distribution (and also its median and mode), while the parameter is its standard deviation. The variance of the distribution is . A random variable with a Gaussian distribution is said to be normally distributed, and is called a normal deviate.
Student's t-distribution
In probability and statistics, Student's t-distribution (or simply the t-distribution) is a continuous probability distribution that generalizes the standard normal distribution. Like the latter, it is symmetric around zero and bell-shaped. However, has heavier tails and the amount of probability mass in the tails is controlled by the parameter . For the Student's t distribution becomes the standard Cauchy distribution, whereas for it becomes the standard normal distribution .
Impact event
An impact event is a collision between astronomical objects causing measurable effects. Impact events have physical consequences and have been found to regularly occur in planetary systems, though the most frequent involve asteroids, comets or meteoroids and have minimal effect. When large objects impact terrestrial planets such as the Earth, there can be significant physical and biospheric consequences, though atmospheres mitigate many surface impacts through atmospheric entry.
Motion estimation
Motion estimation is the process of determining motion vectors that describe the transformation from one 2D image to another; usually from adjacent frames in a video sequence. It is an ill-posed problem as the motion is in three dimensions but the images are a projection of the 3D scene onto a 2D plane. The motion vectors may relate to the whole image (global motion estimation) or specific parts, such as rectangular blocks, arbitrary shaped patches or even per pixel.