Shape Based Object Detection and Recognition in Silhouettes and Real Images

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ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (858 download)

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Book Synopsis Shape Based Object Detection and Recognition in Silhouettes and Real Images by : Xingwei Yang

Download or read book Shape Based Object Detection and Recognition in Silhouettes and Real Images written by Xingwei Yang and published by . This book was released on 2011 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer and Information Science

Shape-based Object Recognition

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Publisher :
ISBN 13 :
Total Pages : 416 pages
Book Rating : 4.:/5 (532 download)

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Book Synopsis Shape-based Object Recognition by : Thomas B. Sebastian

Download or read book Shape-based Object Recognition written by Thomas B. Sebastian and published by . This book was released on 2002 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Shape, Contour and Grouping in Computer Vision

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Publisher : Springer Science & Business Media
ISBN 13 : 3540667229
Total Pages : 340 pages
Book Rating : 4.5/5 (46 download)

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Book Synopsis Shape, Contour and Grouping in Computer Vision by : David A. Forsyth

Download or read book Shape, Contour and Grouping in Computer Vision written by David A. Forsyth and published by Springer Science & Business Media. This book was released on 1999-11-03 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer vision has been successful in several important applications recently. Vision techniques can now be used to build very good models of buildings from pictures quickly and easily, to overlay operation planning data on a neuros- geon’s view of a patient, and to recognise some of the gestures a user makes to a computer. Object recognition remains a very di cult problem, however. The key questions to understand in recognition seem to be: (1) how objects should be represented and (2) how to manage the line of reasoning that stretches from image data to object identity. An important part of the process of recognition { perhaps, almost all of it { involves assembling bits of image information into helpful groups. There is a wide variety of possible criteria by which these groups could be established { a set of edge points that has a symmetry could be one useful group; others might be a collection of pixels shaded in a particular way, or a set of pixels with coherent colour or texture. Discussing this process of grouping requires a detailed understanding of the relationship between what is seen in the image and what is actually out there in the world.

Shape Detection in Computer Vision Using the Hough Transform

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Publisher : Springer
ISBN 13 :
Total Pages : 224 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Shape Detection in Computer Vision Using the Hough Transform by : Violet F. Leavers

Download or read book Shape Detection in Computer Vision Using the Hough Transform written by Violet F. Leavers and published by Springer. This book was released on 1992 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: Shape detection techniques are an important aspect of computer vision and are used to transform raw image data into the symbolic representations needed for object recognition and location. However, the availability and application of research data relating to shape detection has traditionally been limited by a lack of computational and mathematical skill on the part of the intended end-user. As a result progress in areas such as the automation of visual inspection techniques, where shape detection couls play a pivotal role, has been relatively slow. In this volume, Violet Leavers, an established author and researcher in the field, examines the Hough Transform, a technique which is particularly relevant to industrial applications. By making computational recipes and advice available to the non-specialist, the book aims to popularize the technique, and to provide a bridge between low level computer vision tasks and specialist applications. In addition, Shape Detection in Computer Vision Using the Hough Transform assesses practical and theoretical issues which were previously only available in scientific literature in a way which is easily accessible to the non-specialist user. Shape Detection in Computer Vision Using the Hough Transform fills an obvious gap in the existing market. It is an important textbook which will provide postgraduate students with a thorough grounding in the field, and will also be of interest to junior research staff and program designers.

Computer Vision -- ECCV 2014

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Publisher : Springer
ISBN 13 : 331910599X
Total Pages : 855 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Computer Vision -- ECCV 2014 by : David Fleet

Download or read book Computer Vision -- ECCV 2014 written by David Fleet and published by Springer. This book was released on 2014-08-14 with total page 855 pages. Available in PDF, EPUB and Kindle. Book excerpt: The seven-volume set comprising LNCS volumes 8689-8695 constitutes the refereed proceedings of the 13th European Conference on Computer Vision, ECCV 2014, held in Zurich, Switzerland, in September 2014. The 363 revised papers presented were carefully reviewed and selected from 1444 submissions. The papers are organized in topical sections on tracking and activity recognition; recognition; learning and inference; structure from motion and feature matching; computational photography and low-level vision; vision; segmentation and saliency; context and 3D scenes; motion and 3D scene analysis; and poster sessions.

Statistics and Analysis of Shapes

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Publisher : Springer Science & Business Media
ISBN 13 : 0817644814
Total Pages : 396 pages
Book Rating : 4.8/5 (176 download)

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Book Synopsis Statistics and Analysis of Shapes by : Hamid Krim

Download or read book Statistics and Analysis of Shapes written by Hamid Krim and published by Springer Science & Business Media. This book was released on 2007-12-31 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: The subject of pattern analysis and recognition pervades many aspects of our daily lives, including user authentication in banking, object retrieval from databases in the consumer sector, and the omnipresent surveillance and security measures around sensitive areas. Shape analysis, a fundamental building block in many approaches to these applications, is also used in statistics, biomedical applications (Magnetic Resonance Imaging), and many other related disciplines. With contributions from some of the leading experts and pioneers in the field, this self-contained, unified volume is the first comprehensive treatment of theory, methods, and algorithms available in a single resource. Developments are discussed from a rapidly increasing number of research papers in diverse fields, including the mathematical and physical sciences, engineering, and medicine.

Shape Theory Based Object Recognition

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Publisher :
ISBN 13 :
Total Pages : 110 pages
Book Rating : 4.:/5 (43 download)

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Book Synopsis Shape Theory Based Object Recognition by : Xiao Zhang

Download or read book Shape Theory Based Object Recognition written by Xiao Zhang and published by . This book was released on 1999 with total page 110 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Pattern Recognition and Machine Intelligence

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Publisher : Springer
ISBN 13 : 3642450628
Total Pages : 784 pages
Book Rating : 4.6/5 (424 download)

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Book Synopsis Pattern Recognition and Machine Intelligence by : Pradipta Maji

Download or read book Pattern Recognition and Machine Intelligence written by Pradipta Maji and published by Springer. This book was released on 2013-12-09 with total page 784 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 5th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2013, held in Kolkata, India in December 2013. The 101 revised papers presented together with 9 invited talks were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on pattern recognition; machine learning; image processing; speech and video processing; medical imaging; document image processing; soft computing; bioinformatics and computational biology; and social media mining.

Object Categorization

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Publisher : Cambridge University Press
ISBN 13 : 0521887380
Total Pages : 553 pages
Book Rating : 4.5/5 (218 download)

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Book Synopsis Object Categorization by : Sven J. Dickinson

Download or read book Object Categorization written by Sven J. Dickinson and published by Cambridge University Press. This book was released on 2009-09-07 with total page 553 pages. Available in PDF, EPUB and Kindle. Book excerpt: A unique multidisciplinary perspective on the problem of visual object categorization.

Logical Foundations of Shape-based Object Recognition

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Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (654 download)

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Book Synopsis Logical Foundations of Shape-based Object Recognition by :

Download or read book Logical Foundations of Shape-based Object Recognition written by and published by . This book was released on 2000 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Deep Learning for Computer Vision

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Publisher : Machine Learning Mastery
ISBN 13 :
Total Pages : 564 pages
Book Rating : 4./5 ( download)

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Book Synopsis Deep Learning for Computer Vision by : Jason Brownlee

Download or read book Deep Learning for Computer Vision written by Jason Brownlee and published by Machine Learning Mastery. This book was released on 2019-04-04 with total page 564 pages. Available in PDF, EPUB and Kindle. Book excerpt: Step-by-step tutorials on deep learning neural networks for computer vision in python with Keras.

Shape Perception in Human and Computer Vision

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Publisher : Springer Science & Business Media
ISBN 13 : 144715195X
Total Pages : 505 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Shape Perception in Human and Computer Vision by : Sven J. Dickinson

Download or read book Shape Perception in Human and Computer Vision written by Sven J. Dickinson and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 505 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive and authoritative text/reference presents a unique, multidisciplinary perspective on Shape Perception in Human and Computer Vision. Rather than focusing purely on the state of the art, the book provides viewpoints from world-class researchers reflecting broadly on the issues that have shaped the field. Drawing upon many years of experience, each contributor discusses the trends followed and the progress made, in addition to identifying the major challenges that still lie ahead. Topics and features: examines each topic from a range of viewpoints, rather than promoting a specific paradigm; discusses topics on contours, shape hierarchies, shape grammars, shape priors, and 3D shape inference; reviews issues relating to surfaces, invariants, parts, multiple views, learning, simplicity, shape constancy and shape illusions; addresses concepts from the historically separate disciplines of computer vision and human vision using the same “language” and methods.

Logical Foundations of Shape-based Object Recognition

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ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (133 download)

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Book Synopsis Logical Foundations of Shape-based Object Recognition by : Michael John Gruninger

Download or read book Logical Foundations of Shape-based Object Recognition written by Michael John Gruninger and published by . This book was released on 2000 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: It has become evident in computational vision that there is a need to formalize the intuitions of existing vision systems. Any such formalization must allow the designer to explicitly reason about the capabilities and limitations of different representations and techniques. This thesis presents a logical axiomatization of shape-based object recognition in 2D scenes with occlusion and errors in edge detection, in a domain known as CardWorld. In particular, we introduce a family of eight theories which axiomatize the image and scene domain, polygonal shapes, depiction of shapes, reasoning about surface interiors, the depiction of surfaces as planar regions, the obscuring of surfaces in a scene, and the relationship between occlusion and depiction. We then introduce shape and depiction assumptions which allow us to restrict our attention to finite models of the CardWorld theories, and consequently specify propositional theories which are logically equivalent to the CardWorld theories. In the final part of the thesis, we consider the computational complexity of finding models of these propositional theories. We show that in general, these tasks are NP-hard, but by examining restricted classes of images, we can identify tractable subclasses of the problems.

Logical Foundations of Shape-based Object Recognition [microform]

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Publisher : National Library of Canada = Bibliothèque nationale du Canada
ISBN 13 : 9780612536937
Total Pages : 806 pages
Book Rating : 4.5/5 (369 download)

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Book Synopsis Logical Foundations of Shape-based Object Recognition [microform] by : Michael John Gruninger

Download or read book Logical Foundations of Shape-based Object Recognition [microform] written by Michael John Gruninger and published by National Library of Canada = Bibliothèque nationale du Canada. This book was released on 2000 with total page 806 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Computer Vision - ECCV 2004

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Publisher : Springer
ISBN 13 : 3540246711
Total Pages : 648 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis Computer Vision - ECCV 2004 by : Tomas Pajdla

Download or read book Computer Vision - ECCV 2004 written by Tomas Pajdla and published by Springer. This book was released on 2004-05-11 with total page 648 pages. Available in PDF, EPUB and Kindle. Book excerpt: Welcome to the proceedings of the 8th European Conference on Computer - sion! Following a very successful ECCV 2002, the response to our call for papers was almost equally strong – 555 papers were submitted. We accepted 41 papers for oral and 149 papers for poster presentation. Several innovations were introduced into the review process. First, the n- ber of program committee members was increased to reduce their review load. We managed to assign to program committee members no more than 12 papers. Second, we adopted a paper ranking system. Program committee members were asked to rank all the papers assigned to them, even those that were reviewed by additional reviewers. Third, we allowed authors to respond to the reviews consolidated in a discussion involving the area chair and the reviewers. Fourth, thereports,thereviews,andtheresponsesweremadeavailabletotheauthorsas well as to the program committee members. Our aim was to provide the authors with maximal feedback and to let the program committee members know how authors reacted to their reviews and how their reviews were or were not re?ected in the ?nal decision. Finally, we reduced the length of reviewed papers from 15 to 12 pages. ThepreparationofECCV2004wentsmoothlythankstothee?ortsofthe- ganizing committee, the area chairs, the program committee, and the reviewers. We are indebted to Anders Heyden, Mads Nielsen, and Henrik J. Nielsen for passing on ECCV traditions and to Dominique Asselineau from ENST/TSI who kindly provided his GestRFIA conference software. We thank Jan-Olof Eklundh and Andrew Zisserman for encouraging us to organize ECCV 2004 in Prague.

Visual Object Recognition

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Publisher : Morgan & Claypool Publishers
ISBN 13 : 1598299689
Total Pages : 184 pages
Book Rating : 4.5/5 (982 download)

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Book Synopsis Visual Object Recognition by : Kristen Grauman

Download or read book Visual Object Recognition written by Kristen Grauman and published by Morgan & Claypool Publishers. This book was released on 2011 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: The visual recognition problem is central to computer vision research. From robotics to information retrieval, many desired applications demand the ability to identify and localize categories, places, and objects. This tutorial overviews computer vision algorithms for visual object recognition and image classification. We introduce primary representations and learning approaches, with an emphasis on recent advances in the field. The target audience consists of researchers or students working in AI, robotics, or vision who would like to understand what methods and representations are available for these problems. This lecture summarizes what is and isn't possible to do reliably today, and overviews key concepts that could be employed in systems requiring visual categorization. Table of Contents: Introduction / Overview: Recognition of Specific Objects / Local Features: Detection and Description / Matching Local Features / Geometric Verification of Matched Features / Example Systems: Specific-Object Recognition / Overview: Recognition of Generic Object Categories / Representations for Object Categories / Generic Object Detection: Finding and Scoring Candidates / Learning Generic Object Category Models / Example Systems: Generic Object Recognition / Other Considerations and Current Challenges / Conclusions

Colour Object Recognition Using Shape-based Aspects

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ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (599 download)

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Book Synopsis Colour Object Recognition Using Shape-based Aspects by : Richard Ian Taylor

Download or read book Colour Object Recognition Using Shape-based Aspects written by Richard Ian Taylor and published by . This book was released on 1992 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: