Reference Books for Computer Vision
Here are some recommended books for learning computer vision from scratch:
- “Computer Vision: Algorithms and Applications” by Richard Szeliski: A comprehensive guide to the fundamentals of computer vision, covering concepts like image formation, feature detection, motion estimation, object recognition, and 3D construction.
- “Deep Learning for Computer Vision” by Rajalingappaa Shanmugamani: Focuses on deep learning techniques for computer vision tasks like image generation and transfer learning using TensorFlow and Keras.
- “Learning OpenCV 4: Computer Vision with Python” by Adrian Kaehler and Gary Bradski: Covers topics like image processing, filtering, object detection, machine learning, and segmentation using the OpenCV library.
- “Programming Computer Vision with Python” by Jan Erik Solem: Introduces computer vision with Python, including topics like image processing, 3D reconstruction, feature extraction, and object detection.
- “Digital Image Processing” by Rafael C. Gonzalez and Richard E. Woods: Covers basics of digital image processing, restoration, wavelets, color image processing, image enhancement, and compression.
- “Multiple View Geometry in Computer Vision” by Richard Hartley and Andrew Zisserman: Focuses on mathematical applications in computer vision, including structure from motion, camera models, epipolar geometry, and stereo vision.
- “Computer Vision: A Modern Approach” by David A. Forsyth and Jean Ponce: Covers basic to advanced concepts in computer vision, including object detection, image processing, segmentation, feature extraction, 3D reconstruction, and image enhancement.
How to learn Computer Vision?
Computer vision is about teaching computers to perceive and interpret the world around them, even though they lack the lifetime experiences we have. This article covers the basics of computer vision, strategies for learning it, recommended resources and courses, and its various applications.
To learn any new technology or concept, consider these guiding questions: What? Why? How? These questions will help you understand the concept effectively.
Table of Content
- What is Computer Vision?
- Why Learn Computer Vision?
- Applications of Computer Vision
- Roadmap for Learning Computer Vision
- Libraries and Frameworks for Computer Vision
- Online Courses for Computer Vision
- Reference Books for Computer Vision
- Computer Vision Reference Projects
- FAQs on How to learn computer vision