{"product_id":"computer-vision-algorithms-and-applications-9783030343743","title":"Computer Vision: Algorithms and Applications","description":"\u003cp\u003e\u003c\/p\u003e\u003cblockquote\u003e\n\u003cbr\u003eComputer Vision: Algorithms and Applications is a comprehensive textbook that covers the variety of techniques used to analyze and interpret images, with a focus on real-world applications. It takes a scientific approach to formulating computer vision problems and solving them using classical and deep learning models, with exercises and additional material for testing algorithms. Suitable for an upper-level undergraduate or graduate-level course in computer science or engineering. \u003c\/blockquote\u003e\u003cp\u003e\u003cstrong\u003eFormat\u003c\/strong\u003e: Paperback \/ softback\u003cbr\u003e\u003cstrong\u003eLength\u003c\/strong\u003e: 925 pages\u003cbr\u003e\u003cstrong\u003ePublication date\u003c\/strong\u003e: 06 January 2023\u003cbr\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Springer Nature Switzerland AG\u003cbr\u003e\u003c\/p\u003e \u003cp\u003e\u003cbr\u003eComputer Vision: Algorithms and Applications delves into a diverse range of techniques employed to analyze and interpret images. It also showcases real-world applications where vision is successfully utilized, spanning specialized domains like image search and autonomous navigation, as well as consumer-level tasks that students can apply to their personal photos and videos.\u003cbr\u003e\u003cbr\u003eThis textbook goes beyond a mere collection of \"recipes\" and adopts a scientific approach to formulating computer vision problems. These problems are then analyzed using the latest classical and deep learning models, employing rigorous engineering principles to find solutions.\u003cbr\u003e\u003cbr\u003eTopics and Features:\u003cbr\u003e\u003cbr\u003eStructured to support active curricula and project-oriented courses, with tips in the Introduction for utilizing the book in various customized courses.\u003cbr\u003e\u003cbr\u003eIncorporates entirely new material on deep learning and its applications, including mobile computational photography, autonomous navigation, and augmented reality.\u003cbr\u003e\u003cbr\u003ePresents exercises at the end of each chapter, with a strong emphasis on testing algorithms and offering numerous suggestions for small mid-term projects.\u003cbr\u003e\u003cbr\u003eIncludes 1,500 new citations and 200 new figures that capture significant developments from the past decade.\u003cbr\u003e\u003cbr\u003eProvides additional material and more detailed mathematical topics in the Appendices, covering linear algebra, numerical techniques, estimation theory, datasets, and software.\u003cbr\u003e\u003cbr\u003eSuitable for an upper-level undergraduate or graduate-level course in computer science or engineering, this textbook focuses on fundamental techniques that operate in real-world scenarios while encouraging students to explore their creative boundaries. Its design and exposition make it highly accessible and conducive to learning.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWeight\u003c\/strong\u003e: 2570g\u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 210 x 280 x 43 (mm)\u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9783030343743\u003cbr\u003e \u003cstrong\u003eEdition number\u003c\/strong\u003e: 2nd ed. 2022\u003c\/p\u003e","brand":"Richard Szeliski","offers":[{"title":"Paperback \/ softback","offer_id":44698494009594,"sku":"9783030343743","price":47.11,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/products\/1698422770422_book.jpg?v=1698568902","url":"https:\/\/shulphink.com\/products\/computer-vision-algorithms-and-applications-9783030343743","provider":"Shulph Ink","version":"1.0","type":"link"}