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Computer Vision: Algorithms and Applications (Texts in Computer Science)

<p><em>Computer Vision: Algorithms and Applications</em> 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.</p><p>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.</p><p>Topics and features: </p><p></p><ul><li>Structured to support active curricula and project-oriented courses, with tips in the Introduction for using the book in a variety of customized courses</li><li>Incorporates totally new material on deep learning and a

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<p><em>Computer Vision: Algorithms and Applications</em> 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.</p><p>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.</p><p>Topics and features:</p><p></p><ul><li>Structured to support active curricula and project-oriented courses, with tips in the Introduction for using the book in a variety of customized courses</li><li>Incorporates totally new material on deep learning and applications such as mobile computational photography, autonomous navigation, and augmented reality</li><li>Presents exercises at the end of each chapter with a heavy emphasis on testing algorithms and containing numerous suggestions for small mid-term projects<br /></li><li>Includes 1,500 new citations and 200 new figures that cover the tremendous developments from the last decade<br /></li><li>Provides additional material and more detailed mathematical topics in the Appendices, which cover linear algebra, numerical techniques, estimation theory, datasets, and software<br /></li></ul><p></p><p>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.</p>

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Computer Vision: Algorithms and Applications (Texts in Computer Science)

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