Showing 2 open source projects for "principle component analysis"

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    SimpleITK

    SimpleITK

    A layer built on top of the Insight Toolkit (ITK)

    ...Wrapping of the C++ code is accomplished through SWIG, in principle, any language wrapped by SWIG should be applicable to SimpleITK. Unlike ITK's support of n-dimensional spatio-temporal images, SimpleITK supports 2D, 3D and 4D images. The dimensionality refers to spatiotemporal dimensions, the voxels can be n-dimensional vectors. Open-source multi-dimensional image analysis in Python, R, Java, C#, Lua, Ruby, TCL and C++.
    Downloads: 0 This Week
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  • 2

    EMGU Face Recognition

    Using EMGU to perform Principle Component Analysis (PCA)

    ...Face Recognition has always been a popular subject for image processing and this article builds upon the good work by Sergio Andrés Gutiérrez Rojas and his original article (codeproject). The reason that face recognition is so popular is not only it’s real world application but also the common use of principle component analysis (PCA). PCA is an ideal method for recognising statistical patterns in data. The popularity of face recognition is the fact a user can apply a method easily and see if it is working without needing to know to much about how the process is working.
    Downloads: 1 This Week
    Last Update:
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