{"product_id":"computer-vision-algorithms-and-applications-hardcover","title":"Computer Vision: Algorithms and Applications - Hardcover","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eRichard Szeliski\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eHumans perceive the three-dimensional structure of the world with apparent ease. However, despite all of the recent advances in computer vision research, the dream of having a computer interpret an image at the same level as a two-year old remains elusive. Why is computer vision such a challenging problem and what is the current state of the art?\u003c\/p\u003e \u003cp\u003e\u003cem\u003eComputer Vision: Algorithms and Applications\u003c\/em\u003e explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both for specialized applications such as medical imaging, and for fun, consumer-level tasks such as image editing and stitching, which 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 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 and solved using rigorous engineering techniques\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eTopics and features: \u003c\/strong\u003e\u003c\/p\u003e \u003cul\u003e \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 \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\u003c\/li\u003e \u003cli\u003eProvides additional material and more detailed mathematical topics in the Appendices, which cover linear algebra, numerical techniques, and Bayesian estimation theory\u003c\/li\u003e \u003cli\u003eSuggests 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\u003c\/li\u003e \u003cli\u003eSupplies supplementary course material for students at the associated website, http: \/\/szeliski.org\/Book\/\u003c\/li\u003e \u003c\/ul\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\u003ch3\u003eBack Jacket\u003c\/h3\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\u003cp\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003e\u003cb\u003e​Dr. Richard Szeliski\u003c\/b\u003e has more than 40 years' experience in computer vision research, most recently at Facebook and Microsoft Research, where he led the Computational Photography and Interactive Visual Media groups. He is currently an Affiliate Professor at the University of Washington where he co-developed (with Steve Seitz) the widely adopted computer vision curriculum on which this book is based.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eDr. Richard Szeliski\u003c\/b\u003e has more than 40 years' experience in computer vision research, most recently at Facebook and Microsoft Research, where he led the Computational Photography and Interactive Visual Media groups. He is currently an Affiliate Professor at the University of Washington where he co-developed (with Steve Seitz) the widely adopted computer vision curriculum on which this book is based. He was awarded the IEEE Computer Society PAMI Distinguished Researcher Award in 2017 and is an IEEE and ACM Fellow.\u003cbr\u003e\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 925\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1.7 x 11.1 x 8.3 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e January 05, 2022\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":44433777295462,"sku":"9783030343712","price":158.61,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0599\/7255\/0758\/files\/dlFzbE5tb2hxREpQMEJFbDFCOGJsdz09.webp?v=1770400239","url":"https:\/\/infinitylightwa.com\/products\/computer-vision-algorithms-and-applications-hardcover","provider":"Infinity Light","version":"1.0","type":"link"}