These lecture notes are composed for a half-year course lecture to introduce the pattern recognition and computer vision for under-graduate or graduate students. They consist of three parts: Pattern Recognition, 3D Object Recognition, and Image Matching, all of which also have three chapters. These notes focus on the orthodox and theoretical approaches to the image processing, the computer vision and the robot vision problems, which students and young researchers must learn and follow as an introductory course for these fields. The topics selected here are main subjects of the transdisciplinary applications of computer science, mathematics, optics, cognitive science, artificial intelligence, and other academic fields. Those topics do not cover total and advanced fields of pattern recognition and computer vision, but include specially interesting fruits of modern researches in the fields. This work is intended by the author and the editors of IIS Journal to contribute to introduce new comers to the fascinating research areas of the pattern recognition and the computer vision.