Machine Vision: the designated textbook for MIT's machine vision course

arui1999

Machine Vision: the designated textbook for MIT's machine vision course [Copy link]

 

"Machine Vision" starts from the perspective of inverse problems and proposes a complete set of research methods on machine vision. The core of this book is: machine vision should be based on a deep understanding of the imaging process! As the designated textbook for the machine vision course taught by the author at the Massachusetts Institute of Technology (MIT), this book has been used for nearly 30 years and is still widely used by many famous universities in Europe and the United States. This book provides a systematic framework for understanding existing methods and technologies and preparing for future research. It contains a lot of content on applying machine vision methods to practical problems. The book consists of 18 chapters. The first 13 chapters mainly talk about the content of early vision, and the last 5 chapters focus more on: solving some more complex practical problems. Finally, the author integrates the methods introduced in each chapter together to build an "eye-hand" system that can interact with the surrounding environment. The mathematical methods used in the book are also included in the final appendix; as a supplement and expansion of the content, the book also provides a wealth of exercises.

Author: Berthold Horn

Contents
Chapter 1 Introduction
Chapter 2 Imaging and Image Detection
Chapter 3 Binary Graphs: Geometric Properties
Chapter 4 Binary Graphs: Topological Properties
Chapter 5 Region and Image Segmentation
Chapter 6 Image Processing: Continuous Images
Chapter 7 Image Processing: Discrete Images
Chapter 8 Edges and Edge Finding
Chapter 9 Illumination and Color
Chapter 10 Reflectance Maps: Photometric Stereo Vision
Chapter 11 Shape Recovery from Shading
Chapter 12 Motion Fields and Optical Flow
Chapter 13 Photogrammetry and Stereo Vision
Chapter 14 Pattern Classification
Chapter 15 Polyhedral Objects
Chapter 16 Extended Gauss Graphs
Chapter 17 Passive Navigation
Chapter 18 Grasping Parts from Containers
Appendix: Some Useful Mathematical Tools
References
Index

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heleijunjie72

Very good information, which is helpful for understanding electronics. Thank you for providing it.

hellokitty_bean

It is a classic book... However, I seem to have downloaded it before, so if you are not studying CV, don't download it.