Random Sample Consensus

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Random Sample Consensus

Author : Fouad Sabry
Publisher : One Billion Knowledgeable
ISBN 13 :
Total Pages : 155 pages
Book Rating : 4.:/5 (661 download)

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Book Synopsis Random Sample Consensus by : Fouad Sabry

Download or read book Random Sample Consensus written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2024-04-30 with total page 155 pages. Available in PDF, EPUB and Kindle. Book excerpt: What is Random Sample Consensus Random sample consensus, also known as RANSAC, is an iterative method that is used to estimate the parameters of a mathematical model based on a collection of observed data that includes outliers. This method is used in situations where the outliers are permitted to have no impact on the values of the estimates. The conclusion is that it is also possible to view it as a tool for detecting outliers. An algorithm is considered to be non-deterministic if it is able to generate a suitable result only with a certain probability, and this likelihood increases as the number of iterations that are permitted via the method increases. In 1981, Fischler and Bolles, who were working at SRI International, were the ones who initially published the algorithm. In order to solve the Location Determination Problem (LDP), which is a problem in which the objective is to find the points in space that project onto an image and then convert those points into a set of landmarks with known positions, they utilized RANSAC. How you will benefit (I) Insights, and validations about the following topics: Chapter 1: Random sample consensus Chapter 2: Estimator Chapter 3: Least squares Chapter 4: Outlier Chapter 5: Cross-validation (statistics) Chapter 6: Errors and residuals Chapter 7: Mixture model Chapter 8: Robust statistics Chapter 9: Image stitching Chapter 10: Resampling (statistics) (II) Answering the public top questions about random sample consensus. (III) Real world examples for the usage of random sample consensus in many fields. Who this book is for Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Random Sample Consensus.

Readings in Computer Vision

Author : Martin A. Fischler
Publisher : Elsevier
ISBN 13 : 0080515819
Total Pages : 815 pages
Book Rating : 4.0/5 (85 download)

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Book Synopsis Readings in Computer Vision by : Martin A. Fischler

Download or read book Readings in Computer Vision written by Martin A. Fischler and published by Elsevier. This book was released on 2014-06-28 with total page 815 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of computer vision combines techniques from physics, mathematics, psychology, artificial intelligence, and computer science to examine how machines might construct meaningful descriptions of their surrounding environment. The editors of this volume, prominent researchers and leaders of the SRI International AI Center Perception Group, have selected sixty papers, most published since 1980, with the viewpoint that computer vision is concerned with solving seven basic problems: Reconstructing 3D scenes from 2D images Decomposing images into their component parts Recognizing and assigning labels to scene objects Deducing and describing relations among scene objects Determining the nature of computer architectures that can support the visual function Representing abstractions in the world of computer memory Matching stored descriptions to image representation Each chapter of this volume addresses one of these problems through an introductory discussion, which identifies major ideas and summarizes approaches, and through reprints of key research papers. Two appendices on crucial assumptions in image interpretation and on parallel architectures for vision applications, a glossary of technical terms, and a comprehensive bibliography and index complete the volume.

Pattern Recognition

Author : Bernd Michaelis
Publisher : Springer
ISBN 13 : 3540452435
Total Pages : 638 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Pattern Recognition by : Bernd Michaelis

Download or read book Pattern Recognition written by Bernd Michaelis and published by Springer. This book was released on 2003-09-09 with total page 638 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 25th Symposium of the German Association for Pattern Recognition, DAGM 2003, held in Magdeburg, Germany in September 2003. The 74 revised papers presented were carefully reviewed and selected from more than 140 submissions. The papers address all current issues in pattern recognition and are organized in sections on image analyses, callibration and 3D shape, recognition, motion, biomedical applications, and applications.

Machine Learning Algorithms

Author : Giuseppe Bonaccorso
Publisher : Packt Publishing Ltd
ISBN 13 : 1785884514
Total Pages : 360 pages
Book Rating : 4.7/5 (858 download)

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Book Synopsis Machine Learning Algorithms by : Giuseppe Bonaccorso

Download or read book Machine Learning Algorithms written by Giuseppe Bonaccorso and published by Packt Publishing Ltd. This book was released on 2017-07-24 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build strong foundation for entering the world of Machine Learning and data science with the help of this comprehensive guide About This Book Get started in the field of Machine Learning with the help of this solid, concept-rich, yet highly practical guide. Your one-stop solution for everything that matters in mastering the whats and whys of Machine Learning algorithms and their implementation. Get a solid foundation for your entry into Machine Learning by strengthening your roots (algorithms) with this comprehensive guide. Who This Book Is For This book is for IT professionals who want to enter the field of data science and are very new to Machine Learning. Familiarity with languages such as R and Python will be invaluable here. What You Will Learn Acquaint yourself with important elements of Machine Learning Understand the feature selection and feature engineering process Assess performance and error trade-offs for Linear Regression Build a data model and understand how it works by using different types of algorithm Learn to tune the parameters of Support Vector machines Implement clusters to a dataset Explore the concept of Natural Processing Language and Recommendation Systems Create a ML architecture from scratch. In Detail As the amount of data continues to grow at an almost incomprehensible rate, being able to understand and process data is becoming a key differentiator for competitive organizations. Machine learning applications are everywhere, from self-driving cars, spam detection, document search, and trading strategies, to speech recognition. This makes machine learning well-suited to the present-day era of Big Data and Data Science. The main challenge is how to transform data into actionable knowledge. In this book you will learn all the important Machine Learning algorithms that are commonly used in the field of data science. These algorithms can be used for supervised as well as unsupervised learning, reinforcement learning, and semi-supervised learning. A few famous algorithms that are covered in this book are Linear regression, Logistic Regression, SVM, Naive Bayes, K-Means, Random Forest, TensorFlow, and Feature engineering. In this book you will also learn how these algorithms work and their practical implementation to resolve your problems. This book will also introduce you to the Natural Processing Language and Recommendation systems, which help you run multiple algorithms simultaneously. On completion of the book you will have mastered selecting Machine Learning algorithms for clustering, classification, or regression based on for your problem. Style and approach An easy-to-follow, step-by-step guide that will help you get to grips with real -world applications of Algorithms for Machine Learning.

The Maximum Consensus Problem

Author : Tat-Jun Chin
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1627052860
Total Pages : 196 pages
Book Rating : 4.6/5 (27 download)

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Book Synopsis The Maximum Consensus Problem by : Tat-Jun Chin

Download or read book The Maximum Consensus Problem written by Tat-Jun Chin and published by Morgan & Claypool Publishers. This book was released on 2017-02-27 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: Outlier-contaminated data is a fact of life in computer vision. For computer vision applications to perform reliably and accurately in practical settings, the processing of the input data must be conducted in a robust manner. In this context, the maximum consensus robust criterion plays a critical role by allowing the quantity of interest to be estimated from noisy and outlier-prone visual measurements. The maximum consensus problem refers to the problem of optimizing the quantity of interest according to the maximum consensus criterion. This book provides an overview of the algorithms for performing this optimization. The emphasis is on the basic operation or "inner workings" of the algorithms, and on their mathematical characteristics in terms of optimality and efficiency. The applicability of the techniques to common computer vision tasks is also highlighted. By collecting existing techniques in a single article, this book aims to trigger further developments in this theoretically interesting and practically important area.

Computational Intelligence Methods for Bioinformatics and Biostatistics

Author : Paolo Cazzaniga
Publisher : Springer Nature
ISBN 13 : 3030630617
Total Pages : 354 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Computational Intelligence Methods for Bioinformatics and Biostatistics by : Paolo Cazzaniga

Download or read book Computational Intelligence Methods for Bioinformatics and Biostatistics written by Paolo Cazzaniga and published by Springer Nature. This book was released on 2020-12-09 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes revised selected papers from the 16th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2019, which was held in Bergamo, Italy, during September 4-6, 2019. The 28 full papers presented in this volume were carefully reviewed and selected from 55 submissions. The papers are grouped in topical sections as follows: Computational Intelligence Methods for Bioinformatics and Biostatistics; Algebraic and Computational Methods for the Study of RNA Behaviour; Intelligence methods for molecular characterization medicine; Machine Learning in Healthcare Informatics and Medical Biology; Modeling and Simulation Methods for Computational Biology and Systems Medicine.

COMPUTER VISION

Author : Narayan Changder
Publisher : CHANGDER OUTLINE
ISBN 13 :
Total Pages : 80 pages
Book Rating : 4./5 ( download)

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Book Synopsis COMPUTER VISION by : Narayan Changder

Download or read book COMPUTER VISION written by Narayan Changder and published by CHANGDER OUTLINE. This book was released on 2023-10-18 with total page 80 pages. Available in PDF, EPUB and Kindle. Book excerpt: Decode visual intelligence with precision using this comprehensive MCQ mastery guide on computer vision. Tailored for students, researchers, and enthusiasts, this resource offers a curated selection of practice questions covering key concepts, algorithms, and applications in computer vision. Delve deep into image processing, object detection, and scene understanding while enhancing your problem-solving skills. Whether you're preparing for exams or seeking to reinforce your practical knowledge, this guide equips you with the tools needed to excel. Master computer vision and unlock the potential of visual data analysis with confidence using this indispensable resource.

Advances in Visual Computing

Author : Richard Boyle
Publisher : Springer
ISBN 13 : 3642105203
Total Pages : 1238 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Advances in Visual Computing by : Richard Boyle

Download or read book Advances in Visual Computing written by Richard Boyle and published by Springer. This book was released on 2009-11-26 with total page 1238 pages. Available in PDF, EPUB and Kindle. Book excerpt: It is with greatpleasure that we present the proceedings of the 5th International Symposium on Visual Computing (ISVC 2009), which was held in Las Vegas, Nevada. ISVC o?ers a common umbrella for the four main areas of visual c- puting includingvision,graphics,visualization,andvirtualreality.Thegoalisto provide a forum for researchers, scientists, engineers, and practitioners throu- out the world to present their latest research ?ndings, ideas, developments, and applications in the broader area of visual computing. This year, the program consisted of 16 oral sessions, one poster session, 7 special tracks, and 6 keynote presentations. Also, this year ISVC hosted the Third Semantic Robot Vision Challenge.The responseto the call for papers was verygood;wereceivedover320submissionsfor themainsymposiumfromwhich we accepted 97 papers for oral presentation and 63 papers for poster presen- tion. Special track papers were solicited separately through the Organizing and Program Committees of each track. A total of 40 papers were accepted for oral presentation and 15 papers for poster presentation in the special tracks. All papers were reviewed with an emphasis on potential to contribute to the state of the art in the ?eld. Selection criteria included accuracy and originality of ideas, clarity and signi?cance of results, and presentation quality. The review process was quite rigorous, involving two to three independent blind reviews followed by several days of discussion. During the discussion period we tried to correct anomalies and errors that might have existed in the initial reviews.

Computer Vision

Author : E. R. Davies
Publisher : Academic Press
ISBN 13 : 012809575X
Total Pages : 900 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Computer Vision by : E. R. Davies

Download or read book Computer Vision written by E. R. Davies and published by Academic Press. This book was released on 2017-11-15 with total page 900 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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++)

Computer and Machine Vision

Author : E. R. Davies
Publisher : Academic Press
ISBN 13 : 0123869080
Total Pages : 912 pages
Book Rating : 4.1/5 (238 download)

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Book Synopsis Computer and Machine Vision by : E. R. Davies

Download or read book Computer and Machine Vision written by E. R. Davies and published by Academic Press. This book was released on 2012-03-05 with total page 912 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer and Machine Vision: Theory, Algorithms, Practicalities (previously entitled Machine Vision) clearly and systematically presents the basic methodology of computer and machine vision, covering the essential elements of the theory while emphasizing algorithmic and practical design constraints. This fully revised fourth edition has brought in more of the concepts and applications of computer vision, making it a very comprehensive and up-to-date tutorial text suitable for graduate students, researchers and R&D engineers working in this vibrant subject. Key features include: Practical examples and case studies give the 'ins and outs' of developing real-world vision systems, giving engineers the realities of implementing the principles in practice. New chapters containing case studies on surveillance and driver assistance systems give practical methods on these cutting-edge applications in computer vision. Necessary mathematics and essential theory are made approachable by careful explanations and well-illustrated examples. Updated content and new sections cover topics such as human iris location, image stitching, line detection using RANSAC, performance measures, and hyperspectral imaging. The 'recent developments' section now included in each chapter will be useful in bringing students and practitioners up to date with the subject. Roy Davies is Emeritus Professor of Machine Vision at Royal Holloway, University of London. He has worked on many aspects of vision, from feature detection to robust, real-time implementations of practical vision tasks. His interests include automated visual inspection, surveillance, vehicle guidance and crime detection. He has published more than 200 papers, and three books - Machine Vision: Theory, Algorithms, Practicalities (1990), Electronics, Noise and Signal Recovery (1993), and Image Processing for the Food Industry (2000); the first of these has been widely used internationally for more than 20 years, and is now out in this much enhanced fourth edition. Roy holds a DSc at the University of London, and has been awarded Distinguished Fellow of the British Machine Vision Association, and Fellow of the International Association of Pattern Recognition.

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

Author : Eduardo Bayro Corrochano
Publisher : Springer Science & Business Media
ISBN 13 : 3642102670
Total Pages : 1082 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications by : Eduardo Bayro Corrochano

Download or read book Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications written by Eduardo Bayro Corrochano and published by Springer Science & Business Media. This book was released on 2009-10-26 with total page 1082 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 14th Iberoamerican Congress on Pattern Recognition, CIARP 2009, held in Guadalajara, Mexico, in November 2009. The 64 revised full papers presented together with 44 posters were carefully reviewed and selected from 187 submissions. The papers are organized in topical sections on image coding, processing and analysis; segmentation, analysis of shape and texture; geometric image processing and analysis; analysis of signal, speech and language; document processing and recognition; feature extraction, clustering and classification; statistical pattern recognition; neural networks for pattern recognition; computer vision; video segmentation and tracking; robot vision; intelligent remote sensing, imagery research and discovery techniques; intelligent computing for remote sensing imagery; as well as intelligent fusion and classification techniques.

Field and Service Robotics

Author : Luis Mejias
Publisher : Springer
ISBN 13 : 3319074881
Total Pages : 523 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Field and Service Robotics by : Luis Mejias

Download or read book Field and Service Robotics written by Luis Mejias and published by Springer. This book was released on 2014-07-15 with total page 523 pages. Available in PDF, EPUB and Kindle. Book excerpt: FSR, the International Conference on Field and Service Robotics, is a robotics Symposium which has established over the past ten years the latest research and practical results towards the use of field and service robotics in the community with particular focus on proven technology. The first meeting was held in Canberra, Australia, in 1997. Since then the meeting has been held every two years in the pattern Asia, America, Europe. Field robots are non-factory robots, typically mobile, that operate in complex and dynamic environments; on the ground (of earth or planets), under the ground, underwater, in the air or in space. Service robots are those that work closely with humans to help them with their lives. This book present the results of the ninth edition of Field and Service Robotics, FSR13, held in Brisbane, Australia on 9th-11th December 2013. The conference provided a forum for researchers, professionals and robot manufactures to exchange up-to-date technical knowledge and experience. This book offers a collection of a broad range of topics including: Underwater Robots and Systems, Unmanned Aerial Vehicles technologies and applications, Agriculture, Space, Search and Rescue and Domestic Robotics, Robotic Vision, Mapping and Recognition.

Advances in Visual Computing

Author : George Bebis
Publisher : Springer Science & Business Media
ISBN 13 : 3642103308
Total Pages : 1157 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Advances in Visual Computing by : George Bebis

Download or read book Advances in Visual Computing written by George Bebis and published by Springer Science & Business Media. This book was released on 2009-11-09 with total page 1157 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two volume set LNCS 5875 and LNCS 5876 constitutes the refereed proceedings of the 5th International Symposium on Visual Computing, ISVC 2009, held in Las Vegas, NV, USA, in November/December 2009. The 97 revised full papers and 63 poster papers presented together with 40 full and 15 poster papers of 7 special tracks were carefully reviewed and selected from more than 320 submissions. The papers are organized in topical sections on computer graphics; visualization; feature extraction and matching; medical imaging; motion; virtual reality; face processing; reconstruction; detection and tracking; applications; and video analysis and event recognition. The 7 additional special tracks address issues such as object recognition; visual computing for robotics; computational bioimaging; 3D mapping, modeling and surface reconstruction; deformable models: theory and applications; visualization enhanced data analysis for health applications; and optimization for vision, graphics and medical imaging: theory and applications.

Computer Vision - ECCV 2002

Author : Anders Heyden
Publisher : Springer
ISBN 13 : 3540479791
Total Pages : 860 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Computer Vision - ECCV 2002 by : Anders Heyden

Download or read book Computer Vision - ECCV 2002 written by Anders Heyden and published by Springer. This book was released on 2003-08-02 with total page 860 pages. Available in PDF, EPUB and Kindle. Book excerpt: Premiering in 1990 in Antibes, France, the European Conference on Computer Vision, ECCV, has been held biennially at venues all around Europe. These conferences have been very successful, making ECCV a major event to the computer vision community. ECCV 2002 was the seventh in the series. The privilege of organizing it was shared by three universities: The IT University of Copenhagen, the University of Copenhagen, and Lund University, with the conference venue in Copenhagen. These universities lie ̈ geographically close in the vivid Oresund region, which lies partly in Denmark and partly in Sweden, with the newly built bridge (opened summer 2000) crossing the sound that formerly divided the countries. We are very happy to report that this year’s conference attracted more papers than ever before, with around 600 submissions. Still, together with the conference board, we decided to keep the tradition of holding ECCV as a single track conference. Each paper was anonymously refereed by three different reviewers. For the nal selection, for the rst time for ECCV, a system with area chairs was used. These met with the program chairsinLundfortwodaysinFebruary2002toselectwhatbecame45oralpresentations and 181 posters.Also at this meeting the selection was made without knowledge of the authors’identity.

Profiler Training Manual #1

Author : Douglas W. Van de Kamp
Publisher :
ISBN 13 :
Total Pages : 60 pages
Book Rating : 4.:/5 (31 download)

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Book Synopsis Profiler Training Manual #1 by : Douglas W. Van de Kamp

Download or read book Profiler Training Manual #1 written by Douglas W. Van de Kamp and published by . This book was released on 1989 with total page 60 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Proceeding of the Second International Conference on Microelectronics, Computing & Communication Systems (MCCS 2017)

Author : Vijay Nath
Publisher : Springer
ISBN 13 : 9811082340
Total Pages : 841 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis Proceeding of the Second International Conference on Microelectronics, Computing & Communication Systems (MCCS 2017) by : Vijay Nath

Download or read book Proceeding of the Second International Conference on Microelectronics, Computing & Communication Systems (MCCS 2017) written by Vijay Nath and published by Springer. This book was released on 2018-07-30 with total page 841 pages. Available in PDF, EPUB and Kindle. Book excerpt: The volume presents high quality papers presented at the Second International Conference on Microelectronics, Computing & Communication Systems (MCCS 2017). The book discusses recent trends in technology and advancement in MEMS and nanoelectronics, wireless communications, optical communication, instrumentation, signal processing, image processing, bioengineering, green energy, hybrid vehicles, environmental science, weather forecasting, cloud computing, renewable energy, RFID, CMOS sensors, actuators, transducers, telemetry systems, embedded systems, and sensor network applications. It includes original papers based on original theoretical, practical, experimental, simulations, development, application, measurement, and testing. The applications and solutions discussed in the book will serve as a good reference material for future works.

Object Representation and Matching Based on Skeletons and Curves

Author : Christian Feinen
Publisher : Logos Verlag Berlin GmbH
ISBN 13 : 3832542574
Total Pages : 260 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Object Representation and Matching Based on Skeletons and Curves by : Christian Feinen

Download or read book Object Representation and Matching Based on Skeletons and Curves written by Christian Feinen and published by Logos Verlag Berlin GmbH. This book was released on 2016-05-31 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis is dedicated to the problem of object recognition in the three-dimensional space. Instead of using exclusively the information typically transported by a two-dimensional image, the concept of this work additionally incorporates the third dimension, namely the depth. The depth data itself is captured by sensors capable of measuring the distance from the device's position to those objects residing inside its field of view. The actual recognition process is implemented in analogy to the Path Similarity Skeleton Graph Matching (PSSGM). Basically, this method represents a 2D object by its skeleton and uses the idea of shortest paths to describe it. Finally, the similarity between two objects is calculated based on the Hungarian method. The contribution of the current work maps this approach into the three-dimensional space and applies it to 3D objects. While one of the experiments aims at the recognition of 3D chairs and tables, another one is devoted to the registration of fully segmented vascular structures. Excellent and promising recognition results are achieved in challenging evaluation setups showing that the 3D version of the PSSGM has the potential to solve complex recognition tasks.