What are the key skills and concepts for computer vision and graphics?

1 Fundamentals of Computer Vision

This book by Richard Szeliski is a comprehensive and accessible introduction to computer vision, the science of extracting information from images. It covers topics such as image formation, feature detection, segmentation, stereo, motion, recognition, and learning. It also includes examples, exercises, and code snippets in MATLAB and Python. This book is suitable for beginners and advanced learners who want to understand the principles and methods of computer vision.

2 Computer Graphics: Principles and Practice

This book by John F. Hughes, Andries van Dam, Morgan McGuire, David F. Sklar, James D. Foley, Steven K. Feiner, and Kurt Akeley is a classic and authoritative text on computer graphics, the art and technology of creating and manipulating images and 3D models. It covers topics such as graphics hardware, geometric modeling, rendering, animation, interaction, and graphics applications. It also includes examples, exercises, and code snippets in C++, OpenGL, and WebGL. This book is suitable for students and practitioners who want to master the fundamentals and techniques of computer graphics.

3 Multiple View Geometry in Computer Vision

This book by Richard Hartley and Andrew Zisserman is a detailed and rigorous treatment of multiple view geometry, the geometry of multiple images of the same scene. It covers topics such as projective geometry, camera models, epipolar geometry, stereo, structure from motion, homographies, and bundle adjustment. It also includes examples, exercises, and appendices on linear algebra and optimization. This book is suitable for researchers and advanced students who want to delve into the mathematical foundations and algorithms of multiple view geometry.

4 Computer Vision: Algorithms and Applications

This book by Richard Szeliski is a practical and modern guide to computer vision, the science of extracting information from images. It covers topics such as image processing, feature extraction, segmentation, matching, reconstruction, recognition, and scene understanding. It also includes examples, exercises, and code snippets in C++ and MATLAB. This book is suitable for intermediate and advanced learners who want to apply computer vision techniques to real-world problems.

5 Real-Time Rendering

This book by Tomas Akenine-M?ller, Eric Haines, Naty Hoffman, Angelo Pesce, Michal Iwanicki, and Sébastien Hillaire is a comprehensive and up-to-date reference on real-time rendering, the process of generating images and animations in real time. It covers topics such as graphics pipelines, shading, lighting, shadows, textures, materials, global illumination, ray tracing, VR, and graphics APIs. It also includes examples, exercises, and code snippets in C++, OpenGL, Vulkan, and DirectX. This book is suitable for professionals and advanced students who want to learn the state-of-the-art techniques and best practices of real-time rendering.

6 Computer Vision: A Modern Approach

This book by David A. Forsyth and Jean Ponce is a broad and balanced overview of computer vision, the science of extracting information from images. It covers topics such as image formation, edge detection, segmentation, feature extraction, stereo, motion, shape, recognition, and learning. It also includes examples, exercises, and code snippets in MATLAB. This book is suitable for beginners and intermediate learners who want to explore the diversity and depth of computer vision.

7 Here’s what else to consider

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