This document summarizes classical methods for object recognition, including bag of words approaches, parts and structure approaches, and discriminative methods. Bag of words models treat objects as collections of local features without spatial information. Parts and structure models represent objects as combinations of parts with spatial relationships. Discriminative methods formulate recognition as a classification problem by extracting features from image patches and training classifiers.