Pattern Recognition

The book offers a thorough introduction to Pattern Recognition aimed at master and advanced bachelor students of engineering and the natural sciences. Besides classification–the heart of Pattern Recognition–special emphasis is put on features: their typology, their properties and their systematic construction. Additionally, general principles that govern Pattern Recognition are illustrated and explained in a comprehensible way. Rather than presenting a complete overview over the rapidly evolving field, the aim of the book is to clarify the concepts so that the reader can easily understand the underlying ideas and the rationale behind the methods. For this purpose, the mathematical treatment of Pattern Recognition is pushed so far that the mechanisms of action become clear and visible, but not farther. Therefore, not all derivations are driven into the last mathematical detail, as a mathematician would expect it. Ideas of proofs are presented instead of complete proofs. From the authors’ point of view, this concept allows to teach the essential ideas of Pattern Recognition with sufficient depth within a relatively lean book. Prof. Dr.-Ing. habil. Jürgen Beyerer is since 2004 director of the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation (IOSB) and Full Professor of Informatics at the Karlsruhe Institute of Technology (KIT). Matthias Richter received his Diploma in Computer Science at the KIT in 2013. Shortly after, he joined Prof. Beyerer’s chair to pursue his Ph.D. with focus on applications of pattern recognition in an industrial setting. Matthias Nagel studied Mathematics and Computer Science at the Technical University of Karlsruhe. After his studies he worked at the Fraunhofer IOSB and returned to the KIT in 2015.