Tensor Voting

Author : Philippos Mordohai
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1598291009
Total Pages : 137 pages
Book Rating : 4.01/5 ( download)

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Download or read book Tensor Voting written by Philippos Mordohai and published by Morgan & Claypool Publishers. This book was released on 2007 with total page 137 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction -- Tensor voting -- Stereo vision from a perceptual organization perspective -- Tensor voting in ND -- Dimensionality estimation manifold learning and function approximation -- Boundary inference -- Figure completion -- Conclusions -- References.

Author : Philippos Mordohai
Publisher : Springer Nature
ISBN 13 : 3031022424
Total Pages : 126 pages
Book Rating : 4.25/5 ( download)

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Download or read book Tensor Voting written by Philippos Mordohai and published by Springer Nature. This book was released on 2022-06-01 with total page 126 pages. Available in PDF, EPUB and Kindle. Book excerpt: This lecture presents research on a general framework for perceptual organization that was conducted mainly at the Institute for Robotics and Intelligent Systems of the University of Southern California. It is not written as a historical recount of the work, since the sequence of the presentation is not in chronological order. It aims at presenting an approach to a wide range of problems in computer vision and machine learning that is data-driven, local and requires a minimal number of assumptions. The tensor voting framework combines these properties and provides a unified perceptual organization methodology applicable in situations that may seem heterogeneous initially. We show how several problems can be posed as the organization of the inputs into salient perceptual structures, which are inferred via tensor voting. The work presented here extends the original tensor voting framework with the addition of boundary inference capabilities; a novel re-formulation of the framework applicable to high-dimensional spaces and the development of algorithms for computer vision and machine learning problems. We show complete analysis for some problems, while we briefly outline our approach for other applications and provide pointers to relevant sources.

Author : G. Medioni
Publisher : Elsevier
ISBN 13 : 9780080529486
Total Pages : 284 pages
Book Rating : 4.88/5 ( download)

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Download or read book A Computational Framework for Segmentation and Grouping written by G. Medioni and published by Elsevier. This book was released on 2000-03-01 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book represents a summary of the research we have been conducting since the early 1990s, and describes a conceptual framework which addresses some current shortcomings, and proposes a unified approach for a broad class of problems. While the framework is defined, our research continues, and some of the elements presented here will no doubt evolve in the coming years.It is organized in eight chapters. In the Introduction chapter, we present the definition of the problems, and give an overview of the proposed approach and its implementation. In particular, we illustrate the limitations of the 2.5D sketch, and motivate the use of a representation in terms of layers instead. In chapter 2, we review some of the relevant research in the literature. The discussion focuses on general computational approaches for early vision, and individual methods are only cited as references. Chapter 3 is the fundamental chapter, as it presents the elements of our salient feature inference engine, and their interaction. It introduced tensors as a way to represent information, tensor fields as a way to encode both constraints and results, and tensor voting as the communication scheme. Chapter 4 describes the feature extraction steps, given the computations performed by the engine described earlier. In chapter 5, we apply the generic framework to the inference of regions, curves, and junctions in 2-D. The input may take the form of 2-D points, with or without orientation. We illustrate the approach on a number of examples, both basic and advanced. In chapter 6, we apply the framework to the inference of surfaces, curves and junctions in 3-D. Here, the input consists of a set of 3-D points, with or without as associated normal or tangent direction. We show a number of illustrative examples, and also point to some applications of the approach. In chapter 7, we use our framework to tackle 3 early vision problems, shape from shading, stereo matching, and optical flow computation. In chapter 8, we conclude this book with a few remarks, and discuss future research directions. We include 3 appendices, one on Tensor Calculus, one dealing with proofs and details of the Feature Extraction process, and one dealing with the companion software packages.

Author : Aleš Leonardis
Publisher : Springer Science & Business Media
ISBN 13 : 3540338381
Total Pages : 629 pages
Book Rating : 4.83/5 ( download)

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Download or read book Computer Vision -- ECCV 2006 written by Aleš Leonardis and published by Springer Science & Business Media. This book was released on 2006-04-28 with total page 629 pages. Available in PDF, EPUB and Kindle. Book excerpt: The four-volume set comprising LNCS volumes 3951/3952/3953/3954 constitutes the refereed proceedings of the 9th European Conference on Computer Vision, ECCV 2006, held in Graz, Austria, in May 2006. The 192 revised papers presented were carefully reviewed and selected from a total of 811 papers submitted. The four books cover the entire range of current issues in computer vision. The papers are organized in topical sections on recognition, statistical models and visual learning, 3D reconstruction and multi-view geometry, energy minimization, tracking and motion, segmentation, shape from X, visual tracking, face detection and recognition, illumination and reflectance modeling, and low-level vision, segmentation and grouping.

Author : David H. Laidlaw
Publisher : Springer Science & Business Media
ISBN 13 : 3642273424
Total Pages : 389 pages
Book Rating : 4.21/5 ( download)

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Download or read book New Developments in the Visualization and Processing of Tensor Fields written by David H. Laidlaw and published by Springer Science & Business Media. This book was released on 2012-09-14 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bringing together key researchers in disciplines ranging from visualization and image processing to applications in structural mechanics, fluid dynamics, elastography, and numerical mathematics, the workshop that generated this edited volume was the third in the successful Dagstuhl series. Its aim, reflected in the quality and relevance of the papers presented, was to foster collaboration and fresh lines of inquiry in the analysis and visualization of tensor fields, which offer a concise model for numerous physical phenomena. Despite their utility, there remains a dearth of methods for studying all but the simplest ones, a shortage the workshops aim to address. Documenting the latest progress and open research questions in tensor field analysis, the chapters reflect the excitement and inspiration generated by this latest Dagstuhl workshop, held in July 2009. The topics they address range from applications of the analysis of tensor fields to purer research into their mathematical and analytical properties. They show how cooperation and the sharing of ideas and data between those engaged in pure and applied research can open new vistas in the study of tensor fields.

Author : Alan L. Yuille
Publisher : Springer Science & Business Media
ISBN 13 : 354074195X
Total Pages : 504 pages
Book Rating : 4.54/5 ( download)

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Download or read book Energy Minimization Methods in Computer Vision and Pattern Recognition written by Alan L. Yuille and published by Springer Science & Business Media. This book was released on 2007-08-15 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 6th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition held in Ezhou, China, in August 2007. Twenty-two full papers are presented along with fifteen poster papers. The papers are organized into topical sections on algorithms, applications, image parsing, image processing, motion, shape, and three-dimensional processing.

Author : Michael A. Arbib
Publisher : MIT Press
ISBN 13 : 0262011972
Total Pages : 1328 pages
Book Rating : 4.76/5 ( download)

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Download or read book The Handbook of Brain Theory and Neural Networks written by Michael A. Arbib and published by MIT Press. This book was released on 2003 with total page 1328 pages. Available in PDF, EPUB and Kindle. Book excerpt: This second edition presents the enormous progress made in recent years in the many subfields related to the two great questions : how does the brain work? and, How can we build intelligent machines? This second edition greatly increases the coverage of models of fundamental neurobiology, cognitive neuroscience, and neural network approaches to language. (Midwest).

Author : Gabriella Sanniti Di Baja
Publisher : World Scientific
ISBN 13 : 9814545627
Total Pages : 694 pages
Book Rating : 4.24/5 ( download)

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Download or read book Advances In Visual Form Analysis: Proceedings Of The 3rd International Workshop On Visual Form written by Gabriella Sanniti Di Baja and published by World Scientific. This book was released on 1997-10-31 with total page 694 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains papers presented at the Third International Workshop on Visual Form. It covers the most important topics of current interest in the field, presenting an updated collection of results achieved by leading academic and industrial research groups from several countries. The book contains invited lectures and research papers dealing with theoretical and applicative aspects of shape perception, representation, decomposition, description and recognition, as well as related topics.

Author : Zhu Han
Publisher : Cambridge University Press
ISBN 13 : 1107124387
Total Pages : 375 pages
Book Rating : 4.87/5 ( download)

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Download or read book Signal Processing and Networking for Big Data Applications written by Zhu Han and published by Cambridge University Press. This book was released on 2017-04-27 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique text helps make sense of big data using signal processing techniques, in applications including machine learning, networking, and energy systems.

Author : Thomas Schultz
Publisher : Springer
ISBN 13 : 3319613588
Total Pages : 407 pages
Book Rating : 4.81/5 ( download)

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Download or read book Modeling, Analysis, and Visualization of Anisotropy written by Thomas Schultz and published by Springer. This book was released on 2017-10-14 with total page 407 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the modeling, processing and visualization of anisotropy, irrespective of the context in which it emerges, using state-of-the-art mathematical tools. As such, it differs substantially from conventional reference works, which are centered on a particular application. It covers the following topics: (i) the geometric structure of tensors, (ii) statistical methods for tensor field processing, (iii) challenges in mapping neural connectivity and structural mechanics, (iv) processing of uncertainty, and (v) visualizing higher-order representations. In addition to original research contributions, it provides insightful reviews. This multidisciplinary book is the sixth in a series that aims to foster scientific exchange between communities employing tensors and other higher-order representations of directionally dependent data. A significant number of the chapters were co-authored by the participants of the workshop titled Multidisciplinary Approaches to Multivalued Data: Modeling, Visualization, Analysis, which was held in Dagstuhl, Germany in April 2016. It offers a valuable resource for those working in the field of multi-directional data, vital inspirations for the development of new models, and essential analysis and visualization techniques, thus furthering the state-of-the-art in studies involving anisotropy.