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"Computer Vision: Algorithms and Applications, 2nd Edition" authored by Richard Szeliski provides an in-depth exploration of computer vision, offering comprehensive coverage of fundamental algorithms and their practical applications. Szeliski, a renowned expert in the field, delves into the intricacies of image processing, pattern recognition, and machine learning techniques essential for understanding and implementing computer vision systems. The book seamlessly combines theoretical insights with practical examples, guiding readers through topics such as image formation, feature detection, segmentation, object recognition, and scene understanding. With clear explanations and illustrative examples, this edition equips both beginners and seasoned practitioners with the necessary tools to tackle real-world computer vision challenges. Whether you're a student, researcher, or industry professional, "Computer Vision: Algorithms and Applications" serves as an invaluable resource for mastering the principles and techniques shaping the future of visual perception.

Key points:

  • Comprehensive coverage of fundamental computer vision algorithms.
  • Practical applications and real-world examples enhance understanding.
  • Integration of image processing, pattern recognition, and machine learning concepts.
  • Clear explanations make complex topics accessible to both beginners and experts.
  • Essential resource for students, researchers, and industry professionals navigating the field of computer vision.

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Writer                            Richard Szeliski (Author)

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