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Computer Vision: Algorithms and Applications (2nd Edition)

Author: Richard Szeliski
Binding: Paperback 
Paper Quality: High-quality white offset
Category: Computer Vision, Artificial Intelligence, Computer Science
Recommended For:
Undergraduate and graduate students in computer science, AI researchers, machine learning engineers, software developers, and computer vision practitioners.

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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