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Computer and Machine Vision
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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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • Intelligent Vision Systems for Industry (Bruce G. Batchelor, et al)

    Beginning with an introductory chapter on the basic concepts, the authors develop these ideas to describe intelligent imaging techniques for use in a new generation of industrial imaging systems.

  • 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.

  • Natural Image Statistics: A Probabilistic Approach (Aapo Hyvarinen)

    This book is both an introductory textbook and a research monograph on modelling the statistical structure of natural images.

  • Spatial Augmented Reality: Merging Real and Virtual Worlds

    It discusses spatial augmented reality approaches that exploit optical elements, video projectors, holograms, radio frequency tags, and tracking technology, as well as interactive rendering algorithms and calibration techniques in order to embed synthetic supplements into the real environment or into a live video of the real environment.

  • Document Image Analysis (Rangachar Kasturi)

    This book describes some of the technical methods and systems used for document processing of text and graphics images. The methods have grown out of the fields of digital signal processing, digital image processing, and pattern recognition.

  • Natural Image Statistics in Digital Image Forensics (Siwei Lyu)

    This book provides the first general framework, based on universal statistical properties of natural images, of detecting tampering and authenticating digital images that has been successfully applied to three problems in digital image forensics.

  • A Companion to Digital Humanities (Susan Schreibman, et al)

    This book is focusing on the experience of particular disciplines in applying computational methods to humanities research problems; the basic principles of humanities computing across applications and disciplines; specific applications and methods; and production, dissemination, and archiving.

  • Computer and Machine Vision, Forensics

    This is the previous page of Computer and Machine Vision, we are in the processing to convert all the books there to the new page. Please check this page later!!!

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