Computer Vision and Mathematica

Computer vision algorithms are strongly based on advanced mathematical methods. Tools to efficiently develop new methods are increasingly based on computer algebra systems, such as Matlab, Maple and Mathematica. For rapid prototyping both symbolic as numerical capability is required. However, the application to large datasets such as images has always been frustated by the expensive use of memory or long computing times. Today such programs have improved substantially in numerical data handling, making them an ideal tool for rapid prototyping in computer vision. This paper gives a short variety of examples of the use of Mathematica in computer vision research.