Primoz Podrzaj and Boris Kuster, University of Ljubljana, Slovenia

Vision is probably the most important sense for human beings. As a consequence, our way of behaviour and thinking is also often based on visual information. When trying to perform complex information especially in situations where humans are involved, it is of great benefit if some information can be obtained from images. This is the field of image processing and computer vision. There are various libraries available for these tasks. Probably the best known one is OpenCV. It can also be used in Python programming language. Simple and more complex image processing algorithms are already available in the library. One of the more complex ones is face detection. In this paper it shown how face detection can be executed within Python with OpenCV library. This is the first step needed in emotion recognition. When face is detected, we can determine the emotional state of the subject using a special purpose library.

Image processing, Python, OpenCV, face detection, emotion recognition.