Computer Vision-Algorithms and Applications | eBook

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Computer Vision: Algoritmos e Aplicações” por Richard Szeliski | 2011

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Preface

The seeds for this book were first planted in 2001 when Steve Seitz at the University of Washington invited me to co-teach a course called “Computer Vision for Computer Graphics”. At that time, computer vision techniques were increasingly being used in computer graphics to create image-based models of real-world objects, to create visual effects, and to merge real-world imagery using computational photography techniques. Our decision to focus on the applications of computer vision to fun problems such as image stitching and photo-based 3D modeling from personal photos seemed to resonate well with our students.

Since that time, a similar syllabus and project-oriented course structure has been used to teach general computer vision courses both at the University of Washington and at Stanford.(The latter was a course I co-taught with David Fleet in 2003.) Similar curricula have beenadopted at a number of other universities and also incorporated into more specialized courseson computational photography. (For ideas on how to use this book in your own course, pleasesee Table 1.1 in Section 1.4.

This book also reflects my 20 years’ experience doing computer vision research in corpo-rate research labs, mostly at Digital Equipment Corporation’s Cambridge Research Lab andat Microsoft Research. In pursuing my work, I have mostly focused on problems and solution techniques (algorithms) that have practical real-world applications and that work well inpractice. Thus, this book has more emphasis on basic techniques that work under real-world conditions and less on more esoteric mathematics that has intrinsic elegance but less practical applicability. …

Referência: Computer Vision: Algorithms and Applications, 2nd ed. (2022). Retrieved 6 November 2022, from https://szeliski.org/Book/

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