Implementace vybraných algoritmů pro rozpoznávání obličeje v obraze

Abstract

The diploma thesis deals with known algorithms for face recognition, their implementation using existing libraries for image processing and their comparison. The EmguCV library was used to detect and recognize faces, using the EigenFaces, FisherFaces, and Local Binary Patterns Histograms methods for extracting facial features that were then tested and compared on Yale Face Database A and Yale Face Database B. As part of the work, an application was developed to test selected facial recognition algorithms.