Computer Vision Algorithms & Applications explores the variety of techniques commonly used to analyze & interpret images It also describes challenging real-world applications where vision is being successfully used both for specialized applications such as medical imaging & for fun consumer-level tasks such as image editing & stitching which students can apply to their own personal photos & videos More than just a source of "recipes" this exceptionally authoritative & comprehensive textbookreference also takes a scientific approach to basic vision problems formulating physical models of the imaging process before inverting them to produce descriptions of a scene These problems are also analyzed using statistical models & solved using rigorous engineering techniques Topics & features structured to support active curricula & project-oriented courses with tips in the Introduction for using the book in a variety of customized courses; presents exercises at the end of each chapter with a heavy emphasis on testing algorithms & containing numerous suggestions for small mid-term projects; provides additional material & more detailed mathematical topics in the Appendices which cover linear algebra numerical techniques & Bayesian estimation theory; suggests additional reading at the end of each chapter including the latest research in each sub-field in addition to a full Bibliography at the end of the book; supplies supplementary course material for students at the associated website httpszeliskiorg Book Suitable for an upper-level undergraduate or graduate-level course in computer science or engineering this textbook focuses on basic techniques that work under real-world conditions & encourages students to push their creative boundaries Its design & exposition also make it eminently suitable as a unique reference to the fundamental techniques & current research literature in computer vision