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Computer Vision

Computer Vision
Algorithms and Applications

by Richard Szeliski

  • Publisher : Springer Science & Business Media
  • Release : 2010-09-30
  • Pages : 812
  • ISBN : 9781848829350
  • Language : En, Es, Fr & De
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Computer Vision: Algorithms and Applications explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both for specialized applications such as medical imaging, and for fun, consumer-level tasks such as image editing and stitching, which students can apply to their own personal photos and videos. More than just a source of “recipes,” this exceptionally authoritative and comprehensive textbook/reference also takes a scientific approach to basic vision problems, formulating physical models of the imaging process before inverting them to produce descriptions of a scene. These problems are also analyzed using statistical models and solved using rigorous engineering techniques. Topics and features: structured to support active curricula and project-oriented courses, with tips in the Introduction for using the book in a variety of customized courses; presents exercises at the end of each chapter with a heavy emphasis on testing algorithms and containing numerous suggestions for small mid-term projects; provides additional material and more detailed mathematical topics in the Appendices, which cover linear algebra, numerical techniques, and Bayesian estimation theory; suggests additional reading at the end of each chapter, including the latest research in each sub-field, in addition to a full Bibliography at the end of the book; supplies supplementary course material for students at the associated website, http://szeliski.org/Book/. Suitable for an upper-level undergraduate or graduate-level course in computer science or engineering, this textbook focuses on basic techniques that work under real-world conditions and encourages students to push their creative boundaries. Its design and exposition also make it eminently suitable as a unique reference to the fundamental techniques and current research literature in computer vision.

Probabilistic Graphical Models for Computer Vision

Probabilistic Graphical Models for Computer Vision
A Book

by Qiang Ji

  • Publisher : Academic Press
  • Release : 2019-11
  • Pages : 294
  • ISBN : 012803467X
  • Language : En, Es, Fr & De
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Probabilistic Graphical Models for Computer Vision introduces probabilistic graphical models (PGMs) for computer vision problems and teaches how to develop the PGM model from training data. This book discusses PGMs and their significance in the context of solving computer vision problems, giving the basic concepts, definitions and properties. It also provides a comprehensive introduction to well-established theories for different types of PGMs, including both directed and undirected PGMs, such as Bayesian Networks, Markov Networks and their variants. Discusses PGM theories and techniques with computer vision examples Focuses on well-established PGM theories that are accompanied by corresponding pseudocode for computer vision Includes an extensive list of references, online resources and a list of publicly available and commercial software Covers computer vision tasks, including feature extraction and image segmentation, object and facial recognition, human activity recognition, object tracking and 3D reconstruction

IEEE 1983 Computer Vision and Pattern Recognition

IEEE 1983 Computer Vision and Pattern Recognition
Proceedings ; June 19-23, 1983, Washington, D.C.

by Anonim

  • Publisher : Unknown Publisher
  • Release : 1983
  • Pages : 559
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Computer Vision Systems

Computer Vision Systems
Second International Workshop, ICVS 2001 Vancouver, Canada, July 7-8, 2001 Proceedings

by Bernt Schiele,ICVS (Conference : Computer vision systems),B. C.) ICVS 2001 (2001 : Vancouver,Gerhard Sagerer

  • Publisher : Springer Science & Business Media
  • Release : 2001-06-27
  • Pages : 312
  • ISBN : 9783540422853
  • Language : En, Es, Fr & De
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This book constitutes the refereed proceedings of the Second International Workshop on Computer Vision Systems, ICVS 2001, held in Vancouver, Canada, in July 2001. The 20 revised full papers presented were carefully reviewed and selected from 30 submissions. The papers are organized in topical sections on architectures for computer vision systems, tracking, autonomous driving, real-time vision modules, recognition, and exploration and navigation.

Model Based (intermediate-level) Computer Vision

Model Based (intermediate-level) Computer Vision
A Book

by Gunnar Rutger Grape

  • Publisher : Unknown Publisher
  • Release : 1973
  • Pages : 512
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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A system for computer vision is presented, which is based on two-dimensional prototypes, and which uses a hierarchy of features for mapping purposes. More specifically, one is dealing with scenes composed of planar faced, convex objects. Extensions to the general planar faced case are discussed. The visual input is provided by a TV-camera, and the problem is to interpret that input by computer, as a projection of a three-dimensional scene. The system proposed and demonstrated in this paper uses perspectively consistent two-dimensional models (prototypes) of views of three-dimensional objects, and interpretations of scene-representations are based on the establishment of mapping relationships from conglomerates of scene-elements (line-constellations) to prototypes templates. The prototypes are learned by the program through analysis of - and generalization on - ideal instances. (Modified author abstract).

Multiple View Geometry in Computer Vision

Multiple View Geometry in Computer Vision
A Book

by Richard Hartley,Andrew Zisserman

  • Publisher : Cambridge University Press
  • Release : 2003
  • Pages : 655
  • ISBN : 9780521540513
  • Language : En, Es, Fr & De
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How to reconstruct scenes from images using geometry and algebra, with applications to computer vision.

Infrastructure Computer Vision

Infrastructure Computer Vision
A Book

by Ioannis Brilakis,Carl Thomas Michael Haas

  • Publisher : Butterworth-Heinemann
  • Release : 2019-11-28
  • Pages : 408
  • ISBN : 0128172584
  • Language : En, Es, Fr & De
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Infrastructure Computer Vision delves into this field of computer science that works on enabling computers to see, identify, process images and provide appropriate output in the same way that human vision does. However, implementing these advanced information and sensing technologies is difficult for many engineers. This book provides civil engineers with the technical detail of this advanced technology and how to apply it to their individual projects. Explains how to best capture raw geometrical and visual data from infrastructure scenes and assess their quality Offers valuable insights on how to convert the raw data into actionable information and knowledge stored in Digital Twins Bridges the gap between the theoretical aspects and real-life applications of computer vision

Three-dimensional Computer Vision

Three-dimensional Computer Vision
A Geometric Viewpoint

by Olivier Faugeras,OLIVIER AUTOR FAUGERAS

  • Publisher : MIT Press
  • Release : 1993
  • Pages : 663
  • ISBN : 9780262061582
  • Language : En, Es, Fr & De
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This monograph by one of the world's leading vision researchers provides a thorough,mathematically rigorous exposition of a broad and vital area in computer vision: the problems andtechniques related to three-dimensional (stereo) vision and motion. The emphasis is on usinggeometry to solve problems in stereo and motion, with examples from navigation and objectrecognition.Faugeras takes up such important problems in computer vision as projective geometry,camera calibration, edge detection, stereo vision (with many examples on real images), differentkinds of representations and transformations (especially 3-D rotations), uncertainty and methods ofaddressing it, and object representation and recognition. His theoretical account is illustratedwith the results of actual working programs.Three-Dimensional Computer Vision proposes solutions toproblems arising from a specific robotics scenario in which a system must perceive and act. Movingabout an unknown environment, the system has to avoid static and mobile obstacles, build models ofobjects and places in order to be able to recognize and locate them, and characterize its own motionand that of moving objects, by providing descriptions of the corresponding three-dimensionalmotions. The ideas generated, however, can be used indifferent settings, resulting in a general bookon computer vision that reveals the fascinating relationship of three-dimensional geometry and theimaging process.Olivier Faugeras is Research Director of the Computer Vision and Robotics Laboratoryat INRIA Sophia-Antipolis and a Professor of Applied Mathematics at the Ecole Polytechnique inParis.

Machine Learning in Computer Vision

Machine Learning in Computer Vision
A Book

by Nicu Sebe,Ira Cohen,Ashutosh Garg,Thomas S. Huang

  • Publisher : Springer Science & Business Media
  • Release : 2005-06-03
  • Pages : 240
  • ISBN : 9781402032745
  • Language : En, Es, Fr & De
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The goal of this book is to address the use of several important machine learning techniques into computer vision applications. An innovative combination of computer vision and machine learning techniques has the promise of advancing the field of computer vision, which contributes to better understanding of complex real-world applications. The effective usage of machine learning technology in real-world computer vision problems requires understanding the domain of application, abstraction of a learning problem from a given computer vision task, and the selection of appropriate representations for the learnable (input) and learned (internal) entities of the system.In this book, we address all these important aspects from a new perspective: that the key element in the current computer revolution is the use of machine learning to capture the variations in visual appearance, rather than having the designer of the model accomplish this. As a bonus, models learned from large datasets are likely to be more robust and more realistic than the brittle all-design models.

A Computer Vision System for Tracking Multiple Identical Zebrafish

A Computer Vision System for Tracking Multiple Identical Zebrafish
A Book

by Robert M. Buels

  • Publisher : Unknown Publisher
  • Release : 2004
  • Pages : 116
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Computer Vision

Computer Vision
Principles, Algorithms, Applications, Learning

by E. R. Davies

  • Publisher : Academic Press
  • Release : 2017-11-15
  • Pages : 900
  • ISBN : 012809575X
  • Language : En, Es, Fr & De
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Computer Vision: Principles, Algorithms, Applications, Learning (previously entitled Computer and Machine Vision) clearly and systematically presents the basic methodology of computer vision, covering the essential elements of the theory while emphasizing algorithmic and practical design constraints. This fully revised fifth edition has brought in more of the concepts and applications of computer vision, making it a very comprehensive and up-to-date text suitable for undergraduate and graduate students, researchers and R&D engineers working in this vibrant subject. See an interview with the author explaining his approach to teaching and learning computer vision - http://scitechconnect.elsevier.com/computer-vision/ Three new chapters on Machine Learning emphasise the way the subject has been developing; Two chapters cover Basic Classification Concepts and Probabilistic Models; and the The third covers the principles of Deep Learning Networks and shows their impact on computer vision, reflected in a new chapter Face Detection and Recognition. A new chapter on Object Segmentation and Shape Models reflects the methodology of machine learning and gives practical demonstrations of its application. In-depth discussions have been included on geometric transformations, the EM algorithm, boosting, semantic segmentation, face frontalisation, RNNs and other key topics. Examples and applications—including the location of biscuits, foreign bodies, faces, eyes, road lanes, surveillance, vehicles and pedestrians—give the ‘ins and outs’ of developing real-world vision systems, showing the realities of practical implementation. Necessary mathematics and essential theory are made approachable by careful explanations and well-illustrated examples. The ‘recent developments’ sections included in each chapter aim to bring students and practitioners up to date with this fast-moving subject. Tailored programming examples—code, methods, illustrations, tasks, hints and solutions (mainly involving MATLAB and C++)

3D Computer Vision

3D Computer Vision
Efficient Methods and Applications

by Christian Wöhler

  • Publisher : Springer Science & Business Media
  • Release : 2009-07-28
  • Pages : 385
  • ISBN : 3642017320
  • Language : En, Es, Fr & De
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This work provides an introduction to the foundations of three-dimensional c- puter vision and describes recent contributions to the ?eld, which are of methodical and application-speci?c nature. Each chapter of this work provides an extensive overview of the corresponding state of the art, into which a detailed description of new methods or evaluation results in application-speci?c systems is embedded. Geometric approaches to three-dimensional scene reconstruction (cf. Chapter 1) are primarily based on the concept of bundle adjustment, which has been developed more than 100 years ago in the domain of photogrammetry. The three-dimensional scene structure and the intrinsic and extrinsic camera parameters are determined such that the Euclidean backprojection error in the image plane is minimised, u- ally relying on a nonlinear optimisation procedure. In the ?eld of computer vision, an alternative framework based on projective geometry has emerged during the last two decades, which allows to use linear algebra techniques for three-dimensional scene reconstructionand camera calibration purposes. With special emphasis on the problems of stereo image analysis and camera calibration, these fairly different - proaches are related to each other in the presented work, and their advantages and drawbacks are stated. In this context, various state-of-the-artcamera calibration and self-calibration methods as well as recent contributions towards automated camera calibration systems are described. An overview of classical and new feature-based, correlation-based, dense, and spatio-temporal methods for establishing point c- respondences between pairs of stereo images is given.

Computer Vision, Models, and Inspection

Computer Vision, Models, and Inspection
A Book

by A. Dave Marshall,Ralph R. Martin

  • Publisher : World Scientific
  • Release : 1992
  • Pages : 437
  • ISBN : 9810207727
  • Language : En, Es, Fr & De
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The main focus of this book is on the uses of computer vision for inspection and model based matching. It also provides a short, self contained introductory course on computer vision. The authors describe various state-of-the-art approaches to probems and then set forth their proposed approach to matching and inspection. They deal primarily with 3-D vision but also discuss 2-D vision strategies when relevant.The book is suitable for researchers, final year undergraduates and graduate students. Useful review questions at the end of each chapter allow this book to be used for self-study.

Computer Vision

Computer Vision
Systems, Theory and Applications

by Anup Basu,Xiaobo Li

  • Publisher : World Scientific
  • Release : 1993
  • Pages : 257
  • ISBN : 9789810213923
  • Language : En, Es, Fr & De
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This book contains a selection of papers which were presented at the Vision Interface '92 Conference. It also includes several invited articles from prominent researchers in the field, suggesting future directions in Computer Vision.

Computer Vision -- ACCV 2010 Workshops

Computer Vision -- ACCV 2010 Workshops
ACCV 2010 International Workshops. Queenstown, New Zealand, November 8-9, 2010. Revised Selected Papers

by Reinhard Koch,Fay Huang

  • Publisher : Springer Science & Business Media
  • Release : 2011-09-15
  • Pages : 439
  • ISBN : 3642228186
  • Language : En, Es, Fr & De
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The two-volume set LNCS 6468-6469 contains the carefully selected and reviewed papers presented at the eight workshops that were held in conjunction with the 10th Asian Conference on Computer Vision, in Queenstown, New Zealand, in November 2010. From a total of 167 submissions to all workshops, 89 papers were selected for publication. The contributions are grouped together according to the main workshops topics, which were: computational photography and aesthetics; computer vision in vehicle technology: from Earth to Mars; electronic cultural heritage; subspace based methods; video event categorization, tagging and retrieval; visual surveillance; application of computer vision for mixed and augmented reality.

Template Matching Techniques in Computer Vision

Template Matching Techniques in Computer Vision
Theory and Practice

by Roberto Brunelli

  • Publisher : John Wiley & Sons
  • Release : 2009-04-29
  • Pages : 348
  • ISBN : 9780470744048
  • Language : En, Es, Fr & De
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The detection and recognition of objects in images is a key research topic in the computer vision community. Within this area, face recognition and interpretation has attracted increasing attention owing to the possibility of unveiling human perception mechanisms, and for the development of practical biometric systems. This book and the accompanying website, focus on template matching, a subset of object recognition techniques of wide applicability, which has proved to be particularly effective for face recognition applications. Using examples from face processing tasks throughout the book to illustrate more general object recognition approaches, Roberto Brunelli: examines the basics of digital image formation, highlighting points critical to the task of template matching; presents basic and advanced template matching techniques, targeting grey-level images, shapes and point sets; discusses recent pattern classification paradigms from a template matching perspective; illustrates the development of a real face recognition system; explores the use of advanced computer graphics techniques in the development of computer vision algorithms. Template Matching Techniques in Computer Vision is primarily aimed at practitioners working on the development of systems for effective object recognition such as biometrics, robot navigation, multimedia retrieval and landmark detection. It is also of interest to graduate students undertaking studies in these areas.

Computer Vision in Human-Computer Interaction

Computer Vision in Human-Computer Interaction
ECCV 2004 Workshop on HCI, Prague, Czech Republic, May 16, 2004, Proceedings

by Nicu Sebe,Michael S. Lew,Thomas S. Huang

  • Publisher : Springer
  • Release : 2004-05-12
  • Pages : 236
  • ISBN : 3540248374
  • Language : En, Es, Fr & De
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This book constitutes the refereed proceedings of the International Workshop on Human-Computer Interaction, HCI 2004, held at ECCV 2004 in Prague, Czech Republic in May 2004. The 19 revised full papers presented together with an introductory overview and an invited paper were carefully reviewed and selected from 45 submissions. The papers are organized in topical sections on human-robot interaction, gesture recognition and body tracking, systems, and face and head.

Computer Vision - ECCV 2020

Computer Vision - ECCV 2020
16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XXIX

by Andrea Vedaldi,Horst Bischof,Thomas Brox,Jan-Michael Frahm

  • Publisher : Springer Nature
  • Release : 2020
  • Pages : 803
  • ISBN : 3030585263
  • Language : En, Es, Fr & De
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The 30-volume set, comprising the LNCS books 12346 until 12375, constitutes the refereed proceedings of the 16th European Conference on Computer Vision, ECCV 2020, which was planned to be held in Glasgow, UK, during August 23-28, 2020. The conference was held virtually due to the COVID-19 pandemic. The 1360 revised papers presented in these proceedings were carefully reviewed and selected from a total of 5025 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.

Proceedings

Proceedings
A Book

by IEEE Computer Society. Technical Committee on Pattern Analysis and Machine Intelligence

  • Publisher : Unknown Publisher
  • Release : 2003
  • Pages : 1530
  • ISBN : 9780769519500
  • Language : En, Es, Fr & De
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Object Representation in Computer Vision

Object Representation in Computer Vision
International NSF-ARPA Workshop, New York City, NY, USA, December 5 - 7, 1994. Proceedings

by Martial Hebert,Jean Ponce,Terry Boult,Ari Gross

  • Publisher : Springer Science & Business Media
  • Release : 1995-10-18
  • Pages : 366
  • ISBN : 9783540604778
  • Language : En, Es, Fr & De
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This book documents the scientific outcome of the International NSF-ARPA Workshop on Object Representation in Computer Vision, held in New York City in December 1994 with invited participants chosen among the recognized experts in the field. The volume presents the complete set of papers in revised full-length versions. In addition, the first paper is a report on the workshop in which the panel discussions as well as the conclusions and recommendations reached by the workshop participants are summarized. Altogether the volume provides an excellent, in-depth view of the state of the art in this active area of research and applications.