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- Title: Machine Vision
- Author(s) Ramesh Jain (Author), Rangachar Kasturi (Author), Brian G. Schunck (Author)
- Publisher: Indo American Books (January 14, 2016)
- Hardcover: 572 pages
- eBook: PDF (286 pages), and PDF Files
- Language: English
- ISBN-10: 978-9382661344
- ISBN-13: 978-9382661344
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This text is intended to provide a balanced introduction to Machine Vision. Basic concepts are introduced with only essential mathematical elements. The details to allow implementation and use of vision algorithms in practical applications are provided, and engineering aspects of techniques are emphasized. This text intentionally omits theories of machine vision that do not have sufficient practical applications at this time.
About the Authors- N/A
- Computer and Machine Vision, Image Processing
- Deep Learning and Neural Networks
- Digital Signal Processing (DSP), Sound and Imaging Processing
- Robust/Robotics, Automation, and Robot Programming
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Machine Vision: Automating Process and Quality Improvements
This guide is an essential overvew for anyone who would like to understand the techniques for Machine Vision analysis, including systems for industrial inspection, biomedical analysis, and much more.
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Machine Vision: Applications and Systems (Fabio Solari, et al.)
By exploiting the low cost computational power of off the shell computing devices, Machine Vision is not limited any more to industrial environments, but it is now pervasive to support system solutions of everyday life problems.
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Machine Vision: Automated Visual Inspection and Robot Vision
This book provides an introduction to the fundamental principles of Machine Vision for students. Emphasis is laid on providing the reader with a solid grounding in the basic tools for image acquisition, processing and analysis.
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AI Art: Machine Visions and Warped Dreams (Joanna Zylinska)
The book critically examines artworks that use AI, be it in the form of visual style transfer, algorithmic experiment or critical commentary. It also engages with their predecessors, including robotic art and net art.
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Computer Vision: Algorithms and Applications, Second Edition
This book explores the variety of techniques used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both in specialized applications as well as for fun, consumer-level tasks.
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Computer Vision: Models, Learning, and Inference (Simon Prince)
The book starts from the basics of probability and model fitting and works up to real examples that the reader can implement and modify to build useful vision systems. The detailed methodological presentation is useful for practitioners of computer vision.
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Programming Computer Vision with Python: Tools and Algorithms
This book is a hands-on introduction to computer vision using Python. It gives an easily accessible entry point to hands-on computer vision with enough understanding of the underlying theory and algorithms to be a foundation for students, researchers.
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Developing Graphics Frameworks with Python and OpenGL
It shows you how to create software for rendering complete three-dimensional scenes, explains the foundational theoretical concepts as well as the practical programming techniques that will enable you to create your own animated and interactive worlds.
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Modern Robotics with OpenCV (Widodo Budiharto)
This book is written to provide an introduction to intelligent robotics using OpenCV. It gives you a firm grounding in computer vision and OpenCV for building simple or sophisticated Robotics applications.
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Multimedia Forensics (Husrev Taha Sencar, et al)
Media forensics has never been more relevant to societal life. This book presents a comprehensive review of state-of-the-art forensics capabilities that relate to media attribution, integrity and authenticity verification, and counter forensics.
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Mastering OpenCV 4: Computer Vision & Image Processing Apps
This book targets computer vision engineers taking their first steps toward mastering OpenCV. Keeping the mathematical formulations to a solid but bare minimum, it delivers complete projects from ideation to running code, targeting current hot topics, etc.
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Computer Vision: Algorithms and Applications (Richard Szeliski)
This book explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications such as medical imaging and fun consumer-level tasks such as image editing and stitching, etc.
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Computer Vision Metrics: Survey, Taxonomy, and Analysis
This book provides an extensive survey and analysis of over 100 current and historical feature description and machine vision methods, with a detailed taxonomy for local, regional and global features.
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Numerical Algorithms: Computer Vision, Machine Learning, etc.
This book presents a new approach to numerical analysis for modern computer scientists, covers a wide range of topics - from numerical linear algebra to optimization and differential equations - focusing on real-world motivation and unifying themes.
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Digital Video Concepts, Methods, and Metrics (S. Akramullah)
This book is a concise reference for professionals in a wide range of applications and vocations. It focuses on giving the reader mastery over the concepts, methods and metrics of digital video coding.
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Computer Vision (Xiong Zhihui)
This book presents research trends on computer vision, especially on application of robotics, and on advanced approachs for computer vision (such as omnidirectional vision). Among them, research on RFID technology integrating stereo vision to localize an indoor mobile robot is included in this book.
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Computer Vision (Dana H. Ballard, et al)
This book is the construction of explicit, meaningful descriptions of physical objects from images. Image understanding is very different from image processing, which studies image-to-image transformations, not explicit description building.
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Brain, Vision and AI (Cesare Rossi)
The aim of this book is to provide new ideas, original results and practical experiences regarding service robotics. This book provides only a small example of this research activity, but it covers a great deal of what has been done in the field recently.
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