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* [[SURF feature detector in CSharp|SURF Feature Detector]] | * [[SURF feature detector in CSharp|SURF Feature Detector]] | ||
* [[WPF in CSharp|Windows Presentation Foundation (WPF)]] | * [[WPF in CSharp|Windows Presentation Foundation (WPF)]] | ||
* [[Face detection| Face detection in Csharp]] | * [[Face detection| Face detection in Csharp]] <span class="plainlinks">[http://www.monoloop.com behavioral targeting</span>] | ||
* [[Pedestrian Detection in CSharp | Pedestrian Detection, Histogram of oriented gradients (HOG)]] | * [[Pedestrian Detection in CSharp | Pedestrian Detection, Histogram of oriented gradients (HOG)]] | ||
* [[Traffic Sign Detection in CSharp|Traffic Sign Detection]] | * [[Traffic Sign Detection in CSharp|Traffic Sign Detection]] | ||
Revision as of 14:51, 10 June 2012
Tutorial Code
C#
Image Processing Examples
Introductions
Intermediate
- Shape (Triangle, Rectangle, Circle, Line) Detection
- SURF Feature Detector
- Windows Presentation Foundation (WPF)
- Face detection in Csharp behavioral targeting
- Pedestrian Detection, Histogram of oriented gradients (HOG)
- Traffic Sign Detection
- License Plate Recognition (LPR), Optical Character Recognition (OCR)
- Image Stitching
- Using the Kalman Filter
Computational Geometry Examples
- Delaunay's Triangulation and Voronoi Diagram
- Convex Hull
- Ellipse Fitting
- Minimum Area Rectangle
- Minimum Enclosing Circle
Machine Learning Examples
- Normal Bayes Classifier
- K Nearest Neighbors
- Support Vector Machine (SVM) - thanks to Albert G.
- Expectation-Maximization (EM)
- Neural Network (ANN MLP)
- Mushroom Poisonous Prediction (Decision Tree)