# 'Recursive gaussian filters' diaporamas de présentation

## Second Order Derivative

Second Order Derivative. 學生：謝宗佑 指導教授：張顧耀 教授 日期： 2007/06/05. Outline. Introduction Using ITK’s Second Order Filter Experiment Results Demo. Introduction. What is the second order derivative? Give the gradient magnitude. Purpose in image processing: Detect edge Edge enhancement e.g.

By jolenee
(5 views)

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## Kalman Filters Gaussian MNs

Readings: K&F: 6.1, 6.2, 6.3, 14.1, 14.2, 14.3, 14.4, . Kalman Filters Gaussian MNs. Graphical Models – 10708 Carlos Guestrin Carnegie Mellon University December 1 st , 2008. Multivariate Gaussian. Mean vector:. Covariance matrix:. Conditioning a Gaussian. Joint Gaussian:

By noleta (155 views)

## Accelerating Spatially Varying Gaussian Filters

Accelerating Spatially Varying Gaussian Filters. Jongmin Baek and David E. Jacobs Stanford University. Motivation. Input. Spatially Varying Gaussian Filter. Gaussian Filter. Roadmap. Accelerating Spatially Varying Gaussian Filters Accelerating Spatially Varying Gaussian Filters

By kira (145 views)

## Recursive Least-Squares (RLS) Adaptive Filters

Recursive Least-Squares (RLS) Adaptive Filters. Definition. With the arrival of new data samples estimates are updated recursively. Introduce a weighting factor to the sum-of-error-squares definition. two time-indices n: outer, i: inner. Weighting factor. Forgetting factor.

By pabla (258 views)

## Recursive Algorithm Recursive Algorithm Recursive Algorithm Recursive Algorithm

Recursive Algorithm Recursive Algorithm Recursive Algorithm Recursive Algorithm Recursive Algorithm Recursive Algorithm Recursive Algorithm Recursive Algorithm Recursive Algorithm Recursive Algorithm Recursive Algorithm R ecursive Algorithm. Examples of recursion…. Tomorrow.

By nkirby (3 views)

## Recursive

Recursive. Recursive Definitions. In a recursive definition , an object is defined in terms of itself. We can recursively define sequences , functions and sets. Recursively Defined Sequences. Example: The sequence {a n } of powers of 2 is given by a n = 2 n for n = 0, 1, 2, … .

By eshana (171 views)

## Nonlinear and Non-Gaussian Estimation with A Focus on Particle Filters

Nonlinear and Non-Gaussian Estimation with A Focus on Particle Filters. Prasanth Jeevan Mary Knox May 12, 2006. Background. Optimal linear filters Wiener  Stationary Kalman  Gaussian Posterior, p(x|y) Filters for nonlinear systems Extended Kalman Particle.

By barth (160 views)

## Gaussian Pyramid

Gaussian Pyramid. Slides from Alexei Efros. Sampling. Good sampling: Sample often or, Sample wisely. Bad sampling: see aliasing in action!. Gaussian pre-filtering. G 1/8. G 1/4. Gaussian 1/2. Solution: filter the image, then subsample

By andrew (480 views)

## Recursive Networks

Recursive Networks. Joe Touch Postel Center Director USC/ISI Research Assoc. Prof. USC CS and EE/Systems Depts. Active Research Areas. Virtual & recursive nets X-Bone, DynaBone, TetherNet*, RNA Optical IP networking OCDMA – MAC protocols, NIC design*

By gunda (102 views)