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A topological data structure to handle 2D, surfaces and 3D simplicial meshes. This data structure is implemented in C++ using templates. It is based on Corner-Table and CGAL data structure.
This is meant for manual face comparison for forensic use. Details of the face can be compared with as side-by-side screen and the findings can be given on a digital sheet. All kinds of operations are possible with the face.
Artificial vision library. Objectives are to make an OCR, fingerprint and face identification as some applications through a general purpose learning and pattern relationships algorithm (Currently performs very basic identification).
Program to detect human faces on a digital picture. It uses a MLP neural net that receive relative distances from face distribution clusters of the image space. Written in C++. Requires newmat and libann libraries.
JFacedec is aimed to build a flexible face detection system based on Java. The plug-in framwork makes it easy for you to share your own Training & Detection Algorithms, compare different methods and make progress together in this field.