Libccv is an open source image classifier and computer vision library.
It runs on Mac OSX, Linux, FreeBSD, Windows, iPhone, iPad, Android, Raspberry Pi. In fact, anything that has a proper C compiler probably can run ccv. The majority (with notable exception of convolutional networks, which requires a BLAS library) of ccv will just work with no compilation flags or dependencies.
Among lots of other things it has a SIFT implementation
AForge.NET Framework is a C# framework designed for developers and researchers in the fields of Computer Vision and Artificial Intelligence – image processing, neural networks, genetic algorithms, machine learning, robotics, etc.
The framework is comprised by the set of libraries and sample applications, which demonstrate their features:
AForge.Imaging – library with image processing routines and filters;
AForge.Robotics – library providing support of some robotics kits;
AForge.Video – set of libraries for video processing
The work on the framework’s improvement is in constants progress, what means that new feature and namespaces are coming constantly. To get knowledge about its progress you may track source repository’s log or visit project discussion group to get the latest information about it.
The framework is provided not only with different libraries and their sources, but with many sample applications, which demonstrate the use of this framework, and with documentation help files, which are provided in HTML Help format. The documentation is also available on-line.
In the case you have found an issue in any component of the framework or you would like to request for a new feature, you may feel free to submit an issue/request in the issues tracking system.
In case you are interested in the project and would like to learn more about it or in case you would like to contribute it, you are more than welcome to participate in the project’s discussion group.