libagf is a fast, innovative implementation of adaptive or variable-bandwidth kernel-based estimators for statistical classification, PDF estimation, and interpolation/non-linear regression. It is written in C++ and includes simple, command line executables as well as easy-to-use libraries.
CellWriter is a grid-entry natural handwriting input panel. As you write characters into the cells, your writing is instantly recognized at the character level. When you press 'Enter' on the panel, the input you entered is sent to the currently focused application as if typed on the keyboard. Writer-dependent, CellWriter learns your handwriting for reliable recognition. Correcting preprocessor algorithms account for digitizer noise, differing stroke order, direction, and number of strokes. Unicode support enables you to write in any language.
Inlab-Scheme is an independent implementation of the algorithmic language Scheme and conforms to the R4RS and the IEEE Standard 1178. In addition to the language core, Inlab-Scheme has support for image processing which allows the implementation of OCR and image recognition applications. Inlab-Scheme comes with two built in graphic file format converters which convert the PATIMG patent file format and the ST.33 patent file format to multipage TIFF without decompressing.
SIOX4Java (Simple Interactive Object Extraction) is a Java SDK that provides a generic segmentation engine for extracting the foreground from still images with little user interaction. The underlying method (which has also been integrated into GIMP) is noise and motion blur robust and can easily be adapted for the segmentation of objects in videos. The SDK also contains an experimental feature called the "Detail Refinement Brush", which enables the removal of spill colors and manual refinement of highly detailed textures.
Mimas Toolkit is a C++ computer vision toolkit. It is easy to use and includes tools for edge detection, corner detection, various filters, optic flow, tracking, blob analysis, Web cam tools for real-time applications, and much more. It also includes many implementations of traditional algorithms such as Canny. It was developed for GNU/Linux but as the GUI is largely separate, porting to other platforms should be straightforward.
VXL is a set of portable C++ libraries designed for computer vision research and implementation. Numerics, imaging, and geometry are provided by stand-alone core libraries, with easy to use APIs and sophisticated processing algorithms. Other libraries provide stereo, video, structure from motion, probability modeling, GUI design, classification, robust estimation, feature tracking, topology, 3d imaging, and much more. It is written and used by an international team from academia and industry.
The OMCSNet-WordNet project aims to improve the quality of the OMCSNet dataset by using automated processes to map WordNet synonym sets to OMCSNet concepts and import additional semantic linkage data from WordNet. It is based on OMCSNet 1.2, a semantic network and inference toolkit written in Python/Java. OMCSNet currently contains over 280,000 separate pieces of common sense information extracted from the raw OMCS dataset. This project is also based on WordNet, an online lexical reference system that in recent years has become a popular tool for AI researchers.