• Title: Distant Viewing: Computational Exploration of Digital Images
• Author(s) Taylor Arnold, Lauren Tilton
• Publisher: The MIT Press (October 17, 2023); eBook (Creative Commons Licensed)
• License(s): Creative Commons License (CC)
• Hardcover/Paperback: 288 pages
• eBook: PDF and PDF Files
• Language: English
• ISBN-10: 0262546132
• ISBN-13: 978-0262546133
• Share This:  

Book Description

A new theory and methodology for the application of computer vision methods to the computational analysis of collected, digitized visual materials, called “distant viewing”.

• Taylor Arnold is Associate Professor at the University of Richmond in the interdisciplinary programs in Data Science and Linguistics.

• Amazon

• Computer Vision, Machine Vision, and Image Processing
• Deep Learning and Neural Networks
• Digital Signal Processing (DSP), Sound and Imaging Processing
• Computer Graphics and Digital Images
• Artificial Intelligence, Machine Learning, and Logic Programming

• Distant Viewing: Computational Exploration of Digital Images (Taylor Arnold, et al)

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• Computer Vision (Xiong Zhihui)

  This book presents computer vision on application of robotics, and on advanced approachs for computer vision (such as omnidirectional vision), research on RFID technology integrating stereo vision to localize an indoor mobile robot, etc.

• 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.