Computer Vision - Algorithms and Applications - 2nd Edition

Computer Vision: Algorithms and Applications explores the variety of techniques used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both in specialized applications such as image search and autonomous navigation, as well as for fun, consumer-level tasks that students can apply to their own personal photos and videos.More than just a source of "recipes," this exceptionally authoritative and comprehensive textbook/reference takes a scientific approach to the formulation of computer vision problems. These problems are then analyzed using the latest classical and deep learning models and solved using rigorous engineering principles.Topics and features: Structured to support active curricula and project-oriented courses, with tips in the Introduction for using the book in a variety of customized courses Incorporates totally new material on deep learning and applications such as mobile computational photography, autonomous navigation, and augmented reality Presents exercises at the end of each chapter with a heavy emphasis on testing algorithms and containing numerous suggestions for small mid-term projects Includes 1,500 new citations and 200 new figures that cover the tremendous developments from the last decade Provides additional material and more detailed mathematical topics in the Appendices, which cover linear algebra, numerical techniques, estimation theory, datasets, and software 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 and encourages students to push their creative boundaries. Its design and exposition also make it eminently suitable as a unique reference to the fundamental techniques and current research literature in computer vision.

Product details

• Authors: Richard Szeliski
• Publisher: Springer International Publishing AG
• Languages: English, German
• Product format: Hardback
• Released: 11.05.2021
• EAN: 9783030343712
• ISBN: 978-3-0-3034371-2
• Dimensions: 217 mm x 287 mm x 60 mm
• Series: Texts in Computer Science
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing; Elektronik, Werkstoffprüfung, machine learning, Maschinelles Lernen, Deep Learning, imaging techniques, Bildverarbeitung, Computer Vision, Computer Imaging, Vision, Pattern Recognition and Graphics, Digitale Signalverarbeitung (DSP), Image processing, Signal, Speech and Image Processing, image segmentation, motion estimation, structure from motion, computational photography, Scene recognition, Image-based rendering, Feature Detection and Matching, Image Stitching