Computer Vision and Pattern Recognition: A Practical Handbook of Classical Algorithms, Deep Learning, Vision Transformers, and Python Implementation

By Wynne Wisdom

Turn images into intelligence. Master the algorithms, build practical Python projects, and develop computer vision systems that solve real-world problems. Want to build intelligent applications that can recognize images, detect objects, and interpret visual information? Computer Vision and Pattern Recognition is a practical, beginner-friendly handbook that takes you from image-processing fundamentals to deep learning, Vision Transformers, and real-world implementation. Through clear explanations, hands-on Python examples, and practical projects, you'll learn how to: - Process and enhance images using Python. - Apply feature extraction, segmentation, and classical pattern recognition algorithms. - Build and evaluate image classifiers using Scikit-Learn - Understand CNNs, object detection, and visual tracking. - Explore Vision Transformers and transfer learning. - Develop, optimize, and deploy computer vision applications using Python and FastAPI. Who is this book for? Python programmers, computer science students, aspiring AI engineers, and developers looking to build practical computer vision skills. Basic Python knowledge is recommended; no prior computer vision experience is required. Go beyond understanding algorithms-start building computer vision applications that solve real-world problems.

• Format: Paperback
• Language: English
• ISBN: B0HNDLHVQ7
• ISBN13: 9798163071517
• Release Date: October 2026
• Publisher: Independently Published
• Length: 178 Pages
• Weight: 0.94 lbs.
• Dimensions: 0.4" x 8.5" x 11.0"