3d Integral Invariant Signatures And Their Application On Face Recognition

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3D Shape Analysis

Author : Hamid Laga
Publisher : John Wiley & Sons
ISBN 13 : 1119405106
Total Pages : 368 pages
Book Rating : 4.1/5 (194 download)

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Book Synopsis 3D Shape Analysis by : Hamid Laga

Download or read book 3D Shape Analysis written by Hamid Laga and published by John Wiley & Sons. This book was released on 2019-01-07 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: An in-depth description of the state-of-the-art of 3D shape analysis techniques and their applications This book discusses the different topics that come under the title of "3D shape analysis". It covers the theoretical foundations and the major solutions that have been presented in the literature. It also establishes links between solutions proposed by different communities that studied 3D shape, such as mathematics and statistics, medical imaging, computer vision, and computer graphics. The first part of 3D Shape Analysis: Fundamentals, Theory, and Applications provides a review of the background concepts such as methods for the acquisition and representation of 3D geometries, and the fundamentals of geometry and topology. It specifically covers stereo matching, structured light, and intrinsic vs. extrinsic properties of shape. Parts 2 and 3 present a range of mathematical and algorithmic tools (which are used for e.g., global descriptors, keypoint detectors, local feature descriptors, and algorithms) that are commonly used for the detection, registration, recognition, classification, and retrieval of 3D objects. Both also place strong emphasis on recent techniques motivated by the spread of commodity devices for 3D acquisition. Part 4 demonstrates the use of these techniques in a selection of 3D shape analysis applications. It covers 3D face recognition, object recognition in 3D scenes, and 3D shape retrieval. It also discusses examples of semantic applications and cross domain 3D retrieval, i.e. how to retrieve 3D models using various types of modalities, e.g. sketches and/or images. The book concludes with a summary of the main ideas and discussions of the future trends. 3D Shape Analysis: Fundamentals, Theory, and Applications is an excellent reference for graduate students, researchers, and professionals in different fields of mathematics, computer science, and engineering. It is also ideal for courses in computer vision and computer graphics, as well as for those seeking 3D industrial/commercial solutions.

3D Imaging, Analysis and Applications

Author : Nick Pears
Publisher : Springer Science & Business Media
ISBN 13 : 144714063X
Total Pages : 506 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis 3D Imaging, Analysis and Applications by : Nick Pears

Download or read book 3D Imaging, Analysis and Applications written by Nick Pears and published by Springer Science & Business Media. This book was released on 2012-05-22 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: 3D Imaging, Analysis and Applications brings together core topics, both in terms of well-established fundamental techniques and the most promising recent techniques in the exciting field of 3D imaging and analysis. Many similar techniques are being used in a variety of subject areas and applications and the authors attempt to unify a range of related ideas. With contributions from high profile researchers and practitioners, the material presented is informative and authoritative and represents mainstream work and opinions within the community. Composed of three sections, the first examines 3D imaging and shape representation, the second, 3D shape analysis and processing, and the last section covers 3D imaging applications. Although 3D Imaging, Analysis and Applications is primarily a graduate text, aimed at masters-level and doctoral-level research students, much material is accessible to final-year undergraduate students. It will also serve as a reference text for professional academics, people working in commercial research and development labs and industrial practitioners.

Computer Vision - ECCV 2004

Author : Tomas Pajdla
Publisher : Springer Science & Business Media
ISBN 13 : 3540219838
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 Science & Business Media. This book was released on 2004-04-28 with total page 648 pages. Available in PDF, EPUB and Kindle. Book excerpt: The four-volume set comprising LNCS volumes 3021/3022/3023/3024 constitutes the refereed proceedings of the 8th European Conference on Computer Vision, ECCV 2004, held in Prague, Czech Republic, in May 2004. The 190 revised papers presented were carefully reviewed and selected from a total of 555 papers submitted. The four books span the entire range of current issues in computer vision. The papers are organized in topical sections on tracking; feature-based object detection and recognition; geometry; texture; learning and recognition; information-based image processing; scale space, flow, and restoration; 2D shape detection and recognition; and 3D shape representation and reconstruction.

Artificial Neural Networks in Pattern Recognition

Author : Nadia Mana
Publisher : Springer
ISBN 13 : 3642332129
Total Pages : 253 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Artificial Neural Networks in Pattern Recognition by : Nadia Mana

Download or read book Artificial Neural Networks in Pattern Recognition written by Nadia Mana and published by Springer. This book was released on 2012-09-11 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 5th INNS IAPR TC3 GIRPR International Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2012, held in Trento, Italy, in September 2012. The 21 revised full papers presented were carefully reviewed and selected for inclusion in this volume. They cover a large range of topics in the field of neural network- and machine learning-based pattern recognition presenting and discussing the latest research, results, and ideas in these areas.

Robust Geometrically Invariant Features for 2D Shape Matching and 3D Face Recognition

Author : Wei-Yang Lin
Publisher :
ISBN 13 :
Total Pages : 162 pages
Book Rating : 4.:/5 (89 download)

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Book Synopsis Robust Geometrically Invariant Features for 2D Shape Matching and 3D Face Recognition by : Wei-Yang Lin

Download or read book Robust Geometrically Invariant Features for 2D Shape Matching and 3D Face Recognition written by Wei-Yang Lin and published by . This book was released on 2006 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Variable Illumination and Invariant Features for Detecting and Classifying Varnish Defects

Author : Ana Pérez Grassi
Publisher : KIT Scientific Publishing
ISBN 13 : 3866445377
Total Pages : 170 pages
Book Rating : 4.8/5 (664 download)

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Book Synopsis Variable Illumination and Invariant Features for Detecting and Classifying Varnish Defects by : Ana Pérez Grassi

Download or read book Variable Illumination and Invariant Features for Detecting and Classifying Varnish Defects written by Ana Pérez Grassi and published by KIT Scientific Publishing. This book was released on 2014-08-14 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work presents a method to detect and classify varnish defects on wood surfaces. Since these defects are only partially visible under certain illumination directions, one image doesn't provide enough information for a recognition task. A classification requires inspecting the surface under different illumination directions, which results in image series. The information is distributed along this series and can be extracted by merging the knowledge about the defect shape and light direction.

Face Recognition

Author : Miloš Oravec
Publisher : BoD – Books on Demand
ISBN 13 : 9533070609
Total Pages : 414 pages
Book Rating : 4.5/5 (33 download)

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Book Synopsis Face Recognition by : Miloš Oravec

Download or read book Face Recognition written by Miloš Oravec and published by BoD – Books on Demand. This book was released on 2010-04-01 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to bring together selected recent advances, applications and original results in the area of biometric face recognition. They can be useful for researchers, engineers, graduate and postgraduate students, experts in this area and hopefully also for people interested generally in computer science, security, machine learning and artificial intelligence. Various methods, approaches and algorithms for recognition of human faces are used by authors of the chapters of this book, e.g. PCA, LDA, artificial neural networks, wavelets, curvelets, kernel methods, Gabor filters, active appearance models, 2D and 3D representations, optical correlation, hidden Markov models and others. Also a broad range of problems is covered: feature extraction and dimensionality reduction (chapters 1-4), 2D face recognition from the point of view of full system proposal (chapters 5-10), illumination and pose problems (chapters 11-13), eye movement (chapter 14), 3D face recognition (chapters 15-19) and hardware issues (chapters 19-20).

Persistence Theory: From Quiver Representations to Data Analysis

Author : Steve Y. Oudot
Publisher : American Mathematical Soc.
ISBN 13 : 1470434431
Total Pages : 229 pages
Book Rating : 4.4/5 (74 download)

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Book Synopsis Persistence Theory: From Quiver Representations to Data Analysis by : Steve Y. Oudot

Download or read book Persistence Theory: From Quiver Representations to Data Analysis written by Steve Y. Oudot and published by American Mathematical Soc.. This book was released on 2017-05-17 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: Persistence theory emerged in the early 2000s as a new theory in the area of applied and computational topology. This book provides a broad and modern view of the subject, including its algebraic, topological, and algorithmic aspects. It also elaborates on applications in data analysis. The level of detail of the exposition has been set so as to keep a survey style, while providing sufficient insights into the proofs so the reader can understand the mechanisms at work. The book is organized into three parts. The first part is dedicated to the foundations of persistence and emphasizes its connection to quiver representation theory. The second part focuses on its connection to applications through a few selected topics. The third part provides perspectives for both the theory and its applications. The book can be used as a text for a course on applied topology or data analysis.

3D Face Recognition Across Pose and Expression

Author : Xiaoguang Lu
Publisher :
ISBN 13 :
Total Pages : 394 pages
Book Rating : 4.3/5 (129 download)

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Book Synopsis 3D Face Recognition Across Pose and Expression by : Xiaoguang Lu

Download or read book 3D Face Recognition Across Pose and Expression written by Xiaoguang Lu and published by . This book was released on 2006 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Contemporary Advancements in Information Technology Development in Dynamic Environments

Author : Khosrow-Pour, Mehdi
Publisher : IGI Global
ISBN 13 : 1466662530
Total Pages : 432 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Contemporary Advancements in Information Technology Development in Dynamic Environments by : Khosrow-Pour, Mehdi

Download or read book Contemporary Advancements in Information Technology Development in Dynamic Environments written by Khosrow-Pour, Mehdi and published by IGI Global. This book was released on 2014-06-30 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: The advancement of information technology is becoming more prevalent in all aspects of the world today, including online environments. Understanding technologys effect on niche markets and all fields of research is crucial for practitioners in this area. Contemporary Advancements in Information Technology Development in Dynamic Environments presents an in-depth discussion into the information technology revolution present in fields such as government, gaming, social networking, and cloud computing. This books investigation into the research and application of information technology in several specific areas make this a useful resource for practitioners, professionals, undergraduate/graduate students, and academics.

Handbook of Variational Methods for Nonlinear Geometric Data

Author : Philipp Grohs
Publisher : Springer Nature
ISBN 13 : 3030313514
Total Pages : 703 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Handbook of Variational Methods for Nonlinear Geometric Data by : Philipp Grohs

Download or read book Handbook of Variational Methods for Nonlinear Geometric Data written by Philipp Grohs and published by Springer Nature. This book was released on 2020-04-03 with total page 703 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers different, current research directions in the context of variational methods for non-linear geometric data. Each chapter is authored by leading experts in the respective discipline and provides an introduction, an overview and a description of the current state of the art. Non-linear geometric data arises in various applications in science and engineering. Examples of nonlinear data spaces are diverse and include, for instance, nonlinear spaces of matrices, spaces of curves, shapes as well as manifolds of probability measures. Applications can be found in biology, medicine, product engineering, geography and computer vision for instance. Variational methods on the other hand have evolved to being amongst the most powerful tools for applied mathematics. They involve techniques from various branches of mathematics such as statistics, modeling, optimization, numerical mathematics and analysis. The vast majority of research on variational methods, however, is focused on data in linear spaces. Variational methods for non-linear data is currently an emerging research topic. As a result, and since such methods involve various branches of mathematics, there is a plethora of different, recent approaches dealing with different aspects of variational methods for nonlinear geometric data. Research results are rather scattered and appear in journals of different mathematical communities. The main purpose of the book is to account for that by providing, for the first time, a comprehensive collection of different research directions and existing approaches in this context. It is organized in a way that leading researchers from the different fields provide an introductory overview of recent research directions in their respective discipline. As such, the book is a unique reference work for both newcomers in the field of variational methods for non-linear geometric data, as well as for established experts that aim at to exploit new research directions or collaborations. Chapter 9 of this book is available open access under a CC BY 4.0 license at link.springer.com.

Scale Space and Variational Methods in Computer Vision

Author : Alfred M. Bruckstein
Publisher : Springer Science & Business Media
ISBN 13 : 3642247849
Total Pages : 811 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Scale Space and Variational Methods in Computer Vision by : Alfred M. Bruckstein

Download or read book Scale Space and Variational Methods in Computer Vision written by Alfred M. Bruckstein and published by Springer Science & Business Media. This book was released on 2012-01-09 with total page 811 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-conference proceedings of the Third International Conference on Scale Space Methods and Variational Methods in Computer Vision, SSVM 2011, held in Ein-Gedi, Israel in May/June 2011. The 24 revised full papers presented together with 44 poster papers were carefully reviewed and selected from 78 submissions. The papers are organized in topical sections on denoising and enhancement, segmentation, image representation and invariants, shape analysis, and optical flow.

Computer Analysis of Images and Patterns

Author : Michael Felsberg
Publisher : Springer
ISBN 13 : 3319646893
Total Pages : 417 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Computer Analysis of Images and Patterns by : Michael Felsberg

Download or read book Computer Analysis of Images and Patterns written by Michael Felsberg and published by Springer. This book was released on 2017-08-08 with total page 417 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two volume set LNCS 10424 and 10425 constitutes the refereed proceedings of the 17th International Conference on Computer Analysis of Images and Patterns, CAIP 2017, held in Ystad, Sweden, in August 2017. The 72 papers presented were carefully reviewed and selected from 144 submissions The papers are organized in the following topical sections: Vision for Robotics; Motion and Tracking; Segmentation; Image/Video Indexing and Retrieval; Shape Representation and Analysis; Biomedical Image Analysis; Biometrics; Machine Learning; Image Restoration; and Poster Sessions.

Processing, Analyzing and Learning of Images, Shapes, and Forms: Part 2

Author :
Publisher : North Holland
ISBN 13 : 0444641408
Total Pages : 704 pages
Book Rating : 4.4/5 (446 download)

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Book Synopsis Processing, Analyzing and Learning of Images, Shapes, and Forms: Part 2 by :

Download or read book Processing, Analyzing and Learning of Images, Shapes, and Forms: Part 2 written by and published by North Holland. This book was released on 2019-10-15 with total page 704 pages. Available in PDF, EPUB and Kindle. Book excerpt: Processing, Analyzing and Learning of Images, Shapes, and Forms: Part 2, Volume 20, surveys the contemporary developments relating to the analysis and learning of images, shapes and forms, covering mathematical models and quick computational techniques. Chapter cover Alternating Diffusion: A Geometric Approach for Sensor Fusion, Generating Structured TV-based Priors and Associated Primal-dual Methods, Graph-based Optimization Approaches for Machine Learning, Uncertainty Quantification and Networks, Extrinsic Shape Analysis from Boundary Representations, Efficient Numerical Methods for Gradient Flows and Phase-field Models, Recent Advances in Denoising of Manifold-Valued Images, Optimal Registration of Images, Surfaces and Shapes, and much more.

Curvature Scale Space Representation: Theory, Applications, and MPEG-7 Standardization

Author : F. Mokhtarian
Publisher : Springer Science & Business Media
ISBN 13 : 9401703434
Total Pages : 444 pages
Book Rating : 4.4/5 (17 download)

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Book Synopsis Curvature Scale Space Representation: Theory, Applications, and MPEG-7 Standardization by : F. Mokhtarian

Download or read book Curvature Scale Space Representation: Theory, Applications, and MPEG-7 Standardization written by F. Mokhtarian and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: MPEG-7 is the first international standard which contains a number of key techniques from Computer Vision and Image Processing. The Curvature Scale Space technique was selected as a contour shape descriptor for MPEG-7 after substantial and comprehensive testing, which demonstrated the superior performance of the CSS-based descriptor. Curvature Scale Space Representation: Theory, Applications, and MPEG-7 Standardization is based on key publications on the CSS technique, as well as its multiple applications and generalizations. The goal was to ensure that the reader will have access to the most fundamental results concerning the CSS method in one volume. These results have been categorized into a number of chapters to reflect their focus as well as content. The book also includes a chapter on the development of the CSS technique within MPEG standardization, including details of the MPEG-7 testing and evaluation processes which led to the selection of the CSS shape descriptor for the standard. The book can be used as a supplementary textbook by any university or institution offering courses in computer and information science.

2D and 3D Image Analysis by Moments

Author : Jan Flusser
Publisher : John Wiley & Sons
ISBN 13 : 1119039355
Total Pages : 555 pages
Book Rating : 4.1/5 (19 download)

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Book Synopsis 2D and 3D Image Analysis by Moments by : Jan Flusser

Download or read book 2D and 3D Image Analysis by Moments written by Jan Flusser and published by John Wiley & Sons. This book was released on 2016-12-19 with total page 555 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents recent significant and rapid development in the field of 2D and 3D image analysis 2D and 3D Image Analysis by Moments, is a unique compendium of moment-based image analysis which includes traditional methods and also reflects the latest development of the field. The book presents a survey of 2D and 3D moment invariants with respect to similarity and affine spatial transformations and to image blurring and smoothing by various filters. The book comprehensively describes the mathematical background and theorems about the invariants but a large part is also devoted to practical usage of moments. Applications from various fields of computer vision, remote sensing, medical imaging, image retrieval, watermarking, and forensic analysis are demonstrated. Attention is also paid to efficient algorithms of moment computation. Key features: Presents a systematic overview of moment-based features used in 2D and 3D image analysis. Demonstrates invariant properties of moments with respect to various spatial and intensity transformations. Reviews and compares several orthogonal polynomials and respective moments. Describes efficient numerical algorithms for moment computation. It is a "classroom ready" textbook with a self-contained introduction to classifier design. The accompanying website contains around 300 lecture slides, Matlab codes, complete lists of the invariants, test images, and other supplementary material. 2D and 3D Image Analysis by Moments, is ideal for mathematicians, computer scientists, engineers, software developers, and Ph.D students involved in image analysis and recognition. Due to the addition of two introductory chapters on classifier design, the book may also serve as a self-contained textbook for graduate university courses on object recognition.

Guide to Biometric Reference Systems and Performance Evaluation

Author : Dijana Petrovska-Delacrétaz
Publisher : Springer Science & Business Media
ISBN 13 : 1848002920
Total Pages : 414 pages
Book Rating : 4.8/5 (48 download)

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Book Synopsis Guide to Biometric Reference Systems and Performance Evaluation by : Dijana Petrovska-Delacrétaz

Download or read book Guide to Biometric Reference Systems and Performance Evaluation written by Dijana Petrovska-Delacrétaz and published by Springer Science & Business Media. This book was released on 2009-04-05 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biometrics has moved from using fingerprints to using many methods of assessing human physical and behavioral traits. This guide introduces a new performance evaluation framework designed to offer full coverage of performance evaluation of biometric systems.