{"product_id":"computer-vision-algorithms-and-applications-9783030343712","title":"Computer Vision: Algorithms and Applications","description":"\u003cp\u003e • Author(s): Richard Szeliski\u003cbr\u003e • Publisher: Springer\u003cbr\u003e • Publisher Imprint: Springer\u003cbr\u003e • BISAC: Software Development \u0026amp; Engineering - Computer Graphics\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cem\u003eComputer Vision: Algorithms and Applications\u003c\/em\u003e 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.\u003c\/p\u003e\u003cp\u003eMore 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.\u003c\/p\u003e\u003cp\u003eTopics and features: \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eStructured to support active curricula and project-oriented courses, with tips in the Introduction for using the book in a variety of customized courses\u003c\/li\u003e\n\u003cli\u003eIncorporates totally new material on deep learning and applications such as mobile computational photography, autonomous navigation, and augmented reality\u003c\/li\u003e\n\u003cli\u003ePresents exercises at the end of each chapter with a heavy emphasis on testing algorithms and containing numerous suggestions for small mid-term projects\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eIncludes 1,500 new citations and 200 new figures that cover the tremendous developments from the last decade\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eProvides additional material and more detailed mathematical topics in the Appendices, which cover linear algebra, numerical techniques, estimation theory, datasets, and software\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eSuitable 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.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Hardcover","offer_id":45037711884439,"sku":"9783030343712","price":5362.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9783030343712.webp?v=1767897672","url":"https:\/\/atlanticbooks.com\/products\/computer-vision-algorithms-and-applications-9783030343712","provider":"Atlantic Books","version":"1.0","type":"link"}