Research Lab


Current Results

Face Recognition

Introduction firefox Face Recognition is one of the most important applications of computer vision, which has attracted significant attention from both academia and industry. One of the major frameworks that has been proposed for face recognition and has produced promissing results is the Bag-of-Words (BoW) approach. In this research, we explore how this general framework can be optimized for the task of face recognition by evaluating different feature descriptors and different BoW configurations. More specifically, we use automatic feature selection methods, such as forward greedy and backward greedy, to choose a compact set of features (e.g., descriptors, window locations, window sizes, dictionary sizes, etc.) that can produce the highest accuracy.



To be posted soon!


Here you can find the database