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