Why is computer vision problems that challenge and what the current state of the art? Computer Vision: Algorithms and Applications explore a variety of techniques commonly used to analyze and interpret images. It also describes the challenging real-world applications where vision is being successfully used, either for specific applications such as medical imaging, and to have fun, consumer-level tasks such as image editing and stitching, where students can apply to their own personal photos and video. More than just a source of recipes,? These issues are also analyzed using statistical models and solved using a rigorous engineering Topics and features: structured to support the current curriculum and project-oriented program, with tips on Introduction to use this book in a variety of courses tailored; presents exercises at the end of each chapter with an emphasis on testing algorithms and contains many suggestions for projects small and medium-term; provide additional materials and mathematical topics in more detail in the Appendix, which includes linear algebra, numerical techniques, and Bayesian estimation theory; show 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 This book, the supply of additional courses for students in related websites, http://szeliski.org/Book/. Suitable for upper-level undergraduate or graduate level courses in computer science or engineering, this book focuses on basic techniques that work under real world conditions and encourage students to push their creative boundaries.