Foundations of Computer Vision
a year ago
- #image-processing
- #machine-learning
- #computer-vision
- The book 'Foundations of Computer Vision' covers foundational topics with an image processing and machine learning perspective.
- Target audience includes undergraduate and graduate students, as well as experienced practitioners.
- Originally intended to be a large book, it was condensed to focus on important concepts, with each chapter limited to five pages.
- Writing the book took over 10 years, with the manuscript length fluctuating non-monotonically.
- The deep learning revolution in 2012 influenced the book's content, reinforcing foundational ideas with new tools.
- The book is structured into multiple parts, each covering coherent topics in computer vision, meant to be read in order.
- Key topics include image formation, signal and image processing, neural networks, generative modeling, and scene understanding.
- The book does not cover current state-of-the-art applications extensively, focusing instead on foundational concepts.
- Acknowledgments highlight contributions from teachers, students, colleagues, and family members.
- Resources for instructors include slides and a print version available for purchase.