Foundations Of Computer Vision

Author : Antonio Torralba,Phillip Isola,William T. Freeman
Publisher : MIT Press
Page : 981 pages
File Size : 43,8 Mb
Release : 2024-04-16
Category : Computers
ISBN : 9780262048972

Get Book

Foundations of Computer Vision by Antonio Torralba,Phillip Isola,William T. Freeman Pdf

An accessible, authoritative, and up-to-date computer vision textbook offering a comprehensive introduction to the foundations of the field that incorporates the latest deep learning advances. Machine learning has revolutionized computer vision, but the methods of today have deep roots in the history of the field. Providing a much-needed modern treatment, this accessible and up-to-date textbook comprehensively introduces the foundations of computer vision while incorporating the latest deep learning advances. Taking a holistic approach that goes beyond machine learning, it addresses fundamental issues in the task of vision and the relationship of machine vision to human perception. Foundations of Computer Vision covers topics not standard in other texts, including transformers, diffusion models, statistical image models, issues of fairness and ethics, and the research process. To emphasize intuitive learning, concepts are presented in short, lucid chapters alongside extensive illustrations, questions, and examples. Written by leaders in the field and honed by a decade of classroom experience, this engaging and highly teachable book offers an essential next-generation view of computer vision. Up-to-date treatment integrates classic computer vision and deep learning Accessible approach emphasizes fundamentals and assumes little background knowledge Student-friendly presentation features extensive examples and images Proven in the classroom Instructor resources include slides, solutions, and source code

Author : James F. Peters
Publisher : Springer
Page : 431 pages
File Size : 48,6 Mb
Release : 2017-03-17
Category : Computers
ISBN : 9783319524832

Get Book

Foundations of Computer Vision by James F. Peters Pdf

This book introduces the fundamentals of computer vision (CV), with a focus on extracting useful information from digital images and videos. Including a wealth of methods used in detecting and classifying image objects and their shapes, it is the first book to apply a trio of tools (computational geometry, topology and algorithms) in solving CV problems, shape tracking in image object recognition and detecting the repetition of shapes in single images and video frames. Computational geometry provides a visualization of topological structures such as neighborhoods of points embedded in images, while image topology supplies us with structures useful in the analysis and classification of image regions. Algorithms provide a practical, step-by-step means of viewing image structures. The implementations of CV methods in Matlab and Mathematica, classification of chapter problems with the symbols (easily solved) and (challenging) and its extensive glossary of key words, examples and connections with the fabric of CV make the book an invaluable resource for advanced undergraduate and first year graduate students in Engineering, Computer Science or Applied Mathematics. It offers insights into the design of CV experiments, inclusion of image processing methods in CV projects, as well as the reconstruction and interpretation of recorded natural scenes.

Author : Walter Kropatsch,Reinhard Klette,Franc Solina,R. Albrecht
Publisher : Springer Science & Business Media
Page : 260 pages
File Size : 50,6 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9783709165867

Get Book

Theoretical Foundations of Computer Vision by Walter Kropatsch,Reinhard Klette,Franc Solina,R. Albrecht Pdf

Computer Vision is a rapidly growing field of research investigating computational and algorithmic issues associated with image acquisition, processing, and understanding. It serves tasks like manipulation, recognition, mobility, and communication in diverse application areas such as manufacturing, robotics, medicine, security and virtual reality. This volume contains a selection of papers devoted to theoretical foundations of computer vision covering a broad range of fields, e.g. motion analysis, discrete geometry, computational aspects of vision processes, models, morphology, invariance, image compression, 3D reconstruction of shape. Several issues have been identified to be of essential interest to the community: non-linear operators; the transition between continuous to discrete representations; a new calculus of non-orthogonal partially dependent systems.

Author : Simon J. D. Prince
Publisher : Cambridge University Press
Page : 599 pages
File Size : 48,6 Mb
Release : 2012-06-18
Category : Computers
ISBN : 9781107011793

Get Book

Computer Vision by Simon J. D. Prince Pdf

A modern treatment focusing on learning and inference, with minimal prerequisites, real-world examples and implementable algorithms.

Author : Wesley E. Snyder,Hairong Qi
Publisher : Cambridge University Press
Page : 395 pages
File Size : 41,6 Mb
Release : 2017-09-28
Category : Computers
ISBN : 9781107184886

Get Book

Fundamentals of Computer Vision by Wesley E. Snyder,Hairong Qi Pdf

This book equips students with crucial mathematical and algorithmic tools to understand complete computer vision systems.

Author : Alessandro Betti,Marco Gori,Stefano Melacci
Publisher : Springer Nature
Page : 116 pages
File Size : 47,6 Mb
Release : 2022-04-26
Category : Computers
ISBN : 9783030909871

Get Book

Deep Learning to See by Alessandro Betti,Marco Gori,Stefano Melacci Pdf

The remarkable progress in computer vision over the last few years is, by and large, attributed to deep learning, fueled by the availability of huge sets of labeled data, and paired with the explosive growth of the GPU paradigm. While subscribing to this view, this work criticizes the supposed scientific progress in the field, and proposes the investigation of vision within the framework of information-based laws of nature. This work poses fundamental questions about vision that remain far from understood, leading the reader on a journey populated by novel challenges resonating with the foundations of machine learning. The central thesis proposed is that for a deeper understanding of visual computational processes, it is necessary to look beyond the applications of general purpose machine learning algorithms, and focus instead on appropriate learning theories that take into account the spatiotemporal nature of the visual signal. Serving to inspire and stimulate critical reflection and discussion, yet requiring no prior advanced technical knowledge, the text can naturally be paired with classic textbooks on computer vision to better frame the current state of the art, open problems, and novel potential solutions. As such, it will be of great benefit to graduate and advanced undergraduate students in computer science, computational neuroscience, physics, and other related disciplines.

Author : R. Klette,W. G. Jürgen Kropatsch,F. Solina
Publisher : Unknown
Page : 16 pages
File Size : 41,6 Mb
Release : 1994
Category : Electronic
ISBN : OCLC:475756712

Get Book

Theoretical Foundations of Computer Vision by R. Klette,W. G. Jürgen Kropatsch,F. Solina Pdf

Author : Sebastian Nowozin,Christoph H. Lampert
Publisher : Now Publishers Inc
Page : 195 pages
File Size : 45,6 Mb
Release : 2011
Category : Computers
ISBN : 9781601984562

Get Book

Structured Learning and Prediction in Computer Vision by Sebastian Nowozin,Christoph H. Lampert Pdf

Structured Learning and Prediction in Computer Vision introduces the reader to the most popular classes of structured models in computer vision.

Author : Giovanni Maria Farinella,Sebastiano Battiato,Roberto Cipolla
Publisher : Springer Science & Business Media
Page : 437 pages
File Size : 47,5 Mb
Release : 2013-09-24
Category : Computers
ISBN : 9781447155201

Get Book

Advanced Topics in Computer Vision by Giovanni Maria Farinella,Sebastiano Battiato,Roberto Cipolla Pdf

This book presents a broad selection of cutting-edge research, covering both theoretical and practical aspects of reconstruction, registration, and recognition. The text provides an overview of challenging areas and descriptions of novel algorithms. Features: investigates visual features, trajectory features, and stereo matching; reviews the main challenges of semi-supervised object recognition, and a novel method for human action categorization; presents a framework for the visual localization of MAVs, and for the use of moment constraints in convex shape optimization; examines solutions to the co-recognition problem, and distance-based classifiers for large-scale image classification; describes how the four-color theorem can be used for solving MRF problems; introduces a Bayesian generative model for understanding indoor environments, and a boosting approach for generalizing the k-NN rule; discusses the issue of scene-specific object detection, and an approach for making temporal super resolution video.

Author : Wolfgang Förstner,Bernhard P. Wrobel
Publisher : Springer
Page : 816 pages
File Size : 47,5 Mb
Release : 2016-10-04
Category : Computers
ISBN : 9783319115504

Get Book

Photogrammetric Computer Vision by Wolfgang Förstner,Bernhard P. Wrobel Pdf

This textbook offers a statistical view on the geometry of multiple view analysis, required for camera calibration and orientation and for geometric scene reconstruction based on geometric image features. The authors have backgrounds in geodesy and also long experience with development and research in computer vision, and this is the first book to present a joint approach from the converging fields of photogrammetry and computer vision. Part I of the book provides an introduction to estimation theory, covering aspects such as Bayesian estimation, variance components, and sequential estimation, with a focus on the statistically sound diagnostics of estimation results essential in vision metrology. Part II provides tools for 2D and 3D geometric reasoning using projective geometry. This includes oriented projective geometry and tools for statistically optimal estimation and test of geometric entities and transformations and their relations, tools that are useful also in the context of uncertain reasoning in point clouds. Part III is devoted to modelling the geometry of single and multiple cameras, addressing calibration and orientation, including statistical evaluation and reconstruction of corresponding scene features and surfaces based on geometric image features. The authors provide algorithms for various geometric computation problems in vision metrology, together with mathematical justifications and statistical analysis, thus enabling thorough evaluations. The chapters are self-contained with numerous figures and exercises, and they are supported by an appendix that explains the basic mathematical notation and a detailed index. The book can serve as the basis for undergraduate and graduate courses in photogrammetry, computer vision, and computer graphics. It is also appropriate for researchers, engineers, and software developers in the photogrammetry and GIS industries, particularly those engaged with statistically based geometric computer vision methods.

Author : Adriana Kovashka,Olga Russakovsky,Li Fei-Fei,Kristen Grauman
Publisher : Unknown
Page : 80 pages
File Size : 49,5 Mb
Release : 2016-11-30
Category : Computers
ISBN : 1680832123

Get Book

Crowdsourcing in Computer Vision by Adriana Kovashka,Olga Russakovsky,Li Fei-Fei,Kristen Grauman Pdf

An overview of how crowdsourcing has been used in computer vision, enabling a computer vision researcher who has previously not collected non-expert data to devise a data collection strategy. It will also be of help to researchers who focus broadly on crowdsourcing to examine how the latter has been applied in computer vision.

Author : O. D. Faugeras
Publisher : CUP Archive
Page : 520 pages
File Size : 44,9 Mb
Release : 1983-07-28
Category : Computers
ISBN : 0521250994

Get Book

Fundamentals in Computer Vision by O. D. Faugeras Pdf

Author : Reinhard Klette,Thomas Huang,Georgy Gimel'farb
Publisher : Springer
Page : 296 pages
File Size : 47,8 Mb
Release : 2003-06-29
Category : Computers
ISBN : 9783540451341

Get Book

Multi-Image Analysis by Reinhard Klette,Thomas Huang,Georgy Gimel'farb Pdf

This book constitutes the thoroughly refereed post-proceedings of the 10th International Workshop on Theoretical Foundations of Computer Vision, held at Dagstuhl Castle, Germany, in March 2000. The 20 revised full papers presented have been through two rounds of reviewing, selection, and revision and give a representative assessment of the foundational issues in multiple-image processing. The papers are organized in topical sections on 3D data acquisition and sensor design, multi-image analysis, data fusion in 3D scene description, and applied 3D vision and virtual reality.

Author : Theo Gevers,Arjan Gijsenij,Joost van de Weijer,Jan-Mark Geusebroek
Publisher : John Wiley & Sons
Page : 0 pages
File Size : 47,6 Mb
Release : 2012-09-04
Category : Technology & Engineering
ISBN : 0470890843

Get Book

Color in Computer Vision by Theo Gevers,Arjan Gijsenij,Joost van de Weijer,Jan-Mark Geusebroek Pdf

While the field of computer vision drives many of today’s digital technologies and communication networks, the topic of color has emerged only recently in most computer vision applications. One of the most extensive works to date on color in computer vision, this book provides a complete set of tools for working with color in the field of image understanding. Based on the authors’ intense collaboration for more than a decade and drawing on the latest thinking in the field of computer science, the book integrates topics from color science and computer vision, clearly linking theories, techniques, machine learning, and applications. The fundamental basics, sample applications, and downloadable versions of the software and data sets are also included. Clear, thorough, and practical, Color in Computer Vision explains: Computer vision, including color-driven algorithms and quantitative results of various state-of-the-art methods Color science topics such as color systems, color reflection mechanisms, color invariance, and color constancy Digital image processing, including edge detection, feature extraction, image segmentation, and image transformations Signal processing techniques for the development of both image processing and machine learning Robotics and artificial intelligence, including such topics as supervised learning and classifiers for object and scene categorization Researchers and professionals in computer science, computer vision, color science, electrical engineering, and signal processing will learn how to implement color in computer vision applications and gain insight into future developments in this dynamic and expanding field.

Author : J. D. Denis Gagné,University of Waterloo. Department of Computer Science
Publisher : Faculty of Mathematics, University of Waterloo
Page : 87 pages
File Size : 55,5 Mb
Release : 1987
Category : Logic
ISBN : OCLC:18581835

Get Book

Perceptual Reasoning : a Logical Foundation for Computer Vision by J. D. Denis Gagné,University of Waterloo. Department of Computer Science Pdf