View Synthesis Using Stereo Vision

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Author :
Publisher : Springer
ISBN 13 : 3540487255
Total Pages : 173 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis View Synthesis Using Stereo Vision by : Daniel Scharstein

Download or read book View Synthesis Using Stereo Vision written by Daniel Scharstein and published by Springer. This book was released on 2003-06-29 with total page 173 pages. Available in PDF, EPUB and Kindle. Book excerpt: Image-based rendering, as an area of overlap between computer graphics and computer vision, uses computer vision techniques to aid in sythesizing new views of scenes. Image-based rendering methods are having a substantial impact on the field of computer graphics, and also play an important role in the related field of multimedia systems, for applications such as teleconferencing, remote instruction and surgery, virtual reality and entertainment. The book develops a novel way of formalizing the view synthesis problem under the full perspective model, yielding a clean, linear warping equation. It shows new techniques for dealing with visibility issues such as partial occlusion and "holes". Furthermore, the author thoroughly re-evaluates the requirements that view synthesis places on stereo algorithms and introduces two novel stereo algorithms specifically tailored to the application of view synthesis.

Active Computer Vision by Cooperative Focus and Stereo

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Publisher : Springer Science & Business Media
ISBN 13 : 1461396638
Total Pages : 166 pages
Book Rating : 4.4/5 (613 download)

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Book Synopsis Active Computer Vision by Cooperative Focus and Stereo by : Eric P. Krotkov

Download or read book Active Computer Vision by Cooperative Focus and Stereo written by Eric P. Krotkov and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses an area of perception engineering which deals with constructive processes. A model of the environment is analyzed using the information acquired from mUltiple viewpoints of multiple disparate sensors at multiple time instants. Although the role of successive model building and active exploration of the environment, as is discussed in this book, is of great importance, only a few researchers of machine perception have thus far addressed the problem in these directions. Krotkov's book, which is a modification and continuation of his highly successful dissertation, focuses on active exploratory sensing in the context of spatial layout perception. He uses stereo and focus to obtain distance By information, and to eventually develop cooperative combining techniques. means of a stereo system with verging cameras, it is demonstrated that the distance measurements can be significantly improved by combining two sources. In addition, the problem of merging information from the multiple views is discussed in detail. As the field of perception engineering seems to be of growing scientific and applied importance, both practitioners and researchers in machine perception will find this book a valuable addition to their libraries. RameshJain Series Editor Acknowledgements I would like to thank Professor Ruzena Bajcsy for her constant encouragement and guidance during the five years of research leading to the dissertation upon which this book is based. Without her help in all matters, this work would never have been possible.

Computer Stereo Vision

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Author :
Publisher : One Billion Knowledgeable
ISBN 13 :
Total Pages : 127 pages
Book Rating : 4.:/5 (661 download)

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Book Synopsis Computer Stereo Vision by : Fouad Sabry

Download or read book Computer Stereo Vision written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2024-04-28 with total page 127 pages. Available in PDF, EPUB and Kindle. Book excerpt: What is Computer Stereo Vision Computer stereo vision is the extraction of 3D information from digital images, such as those obtained by a CCD camera. By comparing information about a scene from two vantage points, 3D information can be extracted by examining the relative positions of objects in the two panels. This is similar to the biological process of stereopsis. How you will benefit (I) Insights, and validations about the following topics: Chapter 1: Computer stereo vision Chapter 2: 3D reconstruction Chapter 3: Active contour model Chapter 4: Harris affine region detector Chapter 5: Foreground detection Chapter 6: Matrix Chernoff bound Chapter 7: Similarity Chapter 8: Structural similarity Chapter 9: Variance function Chapter 10: Fréchet inception distance (II) Answering the public top questions about computer stereo vision. (III) Real world examples for the usage of computer stereo vision 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 Computer Stereo Vision.

Three-dimensional Computer Vision

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Author :
Publisher : MIT Press
ISBN 13 : 9780262061582
Total Pages : 712 pages
Book Rating : 4.0/5 (615 download)

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Book Synopsis Three-dimensional Computer Vision by : Olivier Faugeras

Download or read book Three-dimensional Computer Vision written by Olivier Faugeras and published by MIT Press. This book was released on 1993 with total page 712 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 and techniques related to three-dimensional (stereo) vision and motion. The emphasis is on using geometry to solve problems in stereo and motion, with examples from navigation and object recognition. Faugeras takes up such important problems in computer vision as projective geometry, camera calibration, edge detection, stereo vision (with many examples on real images), different kinds of representations and transformations (especially 3-D rotations), uncertainty and methods of addressing it, and object representation and recognition. His theoretical account is illustrated with the results of actual working programs.Three-Dimensional Computer Vision proposes solutions to problems arising from a specific robotics scenario in which a system must perceive and act. Moving about an unknown environment, the system has to avoid static and mobile obstacles, build models of objects and places in order to be able to recognize and locate them, and characterize its own motion and that of moving objects, by providing descriptions of the corresponding three-dimensional motions. The ideas generated, however, can be used indifferent settings, resulting in a general book on computer vision that reveals the fascinating relationship of three-dimensional geometry and the imaging process.

An Analog VLSI System for Stereoscopic Vision

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Publisher : Springer Science & Business Media
ISBN 13 : 9780792394440
Total Pages : 240 pages
Book Rating : 4.3/5 (944 download)

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Book Synopsis An Analog VLSI System for Stereoscopic Vision by : Misha Mahowald

Download or read book An Analog VLSI System for Stereoscopic Vision written by Misha Mahowald and published by Springer Science & Business Media. This book was released on 1994-03-31 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Analog VLSI System for Stereoscopic Vision investigates the interaction of the physical medium and the computation in both biological and analog VLSI systems by synthesizing a functional neuromorphic system in silicon. In both the synthesis and analysis of the system, a point of view from within the system is adopted rather than that of an omniscient designer drawing a blueprint. This perspective projects the design and the designer into a living landscape. The motivation for a machine-centered perspective is explained in the first chapter. The second chapter describes the evolution of the silicon retina. The retina accurately encodes visual information over orders of magnitude of ambient illumination, using mismatched components that are calibrated as part of the encoding process. The visual abstraction created by the retina is suitable for transmission through a limited bandwidth channel. The third chapter introduces a general method for interchip communication, the address-event representation, which is used for transmission of retinal data. The address-event representation takes advantage of the speed of CMOS relative to biological neurons to preserve the information of biological action potentials using digital circuitry in place of axons. The fourth chapter describes a collective circuit that computes stereodisparity. In this circuit, the processing that corrects for imperfections in the hardware compensates for inherent ambiguity in the environment. The fifth chapter demonstrates a primitive working stereovision system. An Analog VLSI System for Stereoscopic Vision contributes to both computer engineering and neuroscience at a concrete level. Through the construction of a working analog of biological vision subsystems, new circuits for building brain-style analog computers have been developed. Specific neuropysiological and psychophysical results in terms of underlying electronic mechanisms are explained. These examples demonstrate the utility of using biological principles for building brain-style computers and the significance of building brain-style computers for understanding the nervous system.

Computer Vision Systems

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Publisher : Springer
ISBN 13 : 3642046673
Total Pages : 456 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Computer Vision Systems by : Mario Fritz

Download or read book Computer Vision Systems written by Mario Fritz and published by Springer. This book was released on 2009-10-14 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 7th International Conference on Computer Vision Systems, ICVS 2009, held in Liege, Belgium, October 13-15, 2009. The 21 papers for oral presentation presented together with 24 poster presentations and 2 invited papers were carefully reviewed and selected from 96 submissions. The papers are organized in topical sections on human-machine-interaction, sensors, features and representations, stereo, 3D and optical flow, calibration and registration, mobile and autonomous systems, evaluation, studies and applications, learning, recognition and adaption.

OpenCV: Computer Vision Projects with Python

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Author :
Publisher : Packt Publishing Ltd
ISBN 13 : 1787123847
Total Pages : 558 pages
Book Rating : 4.7/5 (871 download)

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Book Synopsis OpenCV: Computer Vision Projects with Python by : Joseph Howse

Download or read book OpenCV: Computer Vision Projects with Python written by Joseph Howse and published by Packt Publishing Ltd. This book was released on 2016-10-24 with total page 558 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get savvy with OpenCV and actualize cool computer vision applications About This Book Use OpenCV's Python bindings to capture video, manipulate images, and track objects Learn about the different functions of OpenCV and their actual implementations. Develop a series of intermediate to advanced projects using OpenCV and Python Who This Book Is For This learning path is for someone who has a working knowledge of Python and wants to try out OpenCV. This Learning Path will take you from a beginner to an expert in computer vision applications using OpenCV. OpenCV's application are humongous and this Learning Path is the best resource to get yourself acquainted thoroughly with OpenCV. What You Will Learn Install OpenCV and related software such as Python, NumPy, SciPy, OpenNI, and SensorKinect - all on Windows, Mac or Ubuntu Apply "curves" and other color transformations to simulate the look of old photos, movies, or video games Apply geometric transformations to images, perform image filtering, and convert an image into a cartoon-like image Recognize hand gestures in real time and perform hand-shape analysis based on the output of a Microsoft Kinect sensor Reconstruct a 3D real-world scene from 2D camera motion and common camera reprojection techniques Detect and recognize street signs using a cascade classifier and support vector machines (SVMs) Identify emotional expressions in human faces using convolutional neural networks (CNNs) and SVMs Strengthen your OpenCV2 skills and learn how to use new OpenCV3 features In Detail OpenCV is a state-of-art computer vision library that allows a great variety of image and video processing operations. OpenCV for Python enables us to run computer vision algorithms in real time. This learning path proposes to teach the following topics. First, we will learn how to get started with OpenCV and OpenCV3's Python API, and develop a computer vision application that tracks body parts. Then, we will build amazing intermediate-level computer vision applications such as making an object disappear from an image, identifying different shapes, reconstructing a 3D map from images , and building an augmented reality application, Finally, we'll move to more advanced projects such as hand gesture recognition, tracking visually salient objects, as well as recognizing traffic signs and emotions on faces using support vector machines and multi-layer perceptrons respectively. This Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products: OpenCV Computer Vision with Python by Joseph Howse OpenCV with Python By Example by Prateek Joshi OpenCV with Python Blueprints by Michael Beyeler Style and approach This course aims to create a smooth learning path that will teach you how to get started with will learn how to get started with OpenCV and OpenCV 3's Python API, and develop superb computer vision applications. Through this comprehensive course, you'll learn to create computer vision applications from scratch to finish and more!.

Computer-Stereo-Vision

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Author :
Publisher : One Billion Knowledgeable
ISBN 13 :
Total Pages : 141 pages
Book Rating : 4.:/5 (661 download)

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Book Synopsis Computer-Stereo-Vision by : Fouad Sabry

Download or read book Computer-Stereo-Vision written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2024-04-28 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: Was ist Computer Stereo Vision? Computer-Stereovision ist die Extraktion von 3D-Informationen aus digitalen Bildern, wie sie beispielsweise von einer CCD-Kamera aufgenommen werden. Durch den Vergleich von Informationen über eine Szene aus zwei Blickwinkeln können 3D-Informationen extrahiert werden, indem die relativen Positionen von Objekten in den beiden Panels untersucht werden. Dies ähnelt dem biologischen Prozess der Stereopsis. Wie Sie davon profitieren (I) Einblicke und Validierungen zu den folgenden Themen: Kapitel 1: Computer-Stereovision Kapitel 2: 3D-Rekonstruktion Kapitel 3: Aktives Konturmodell Kapitel 4: Harris-Detektor für affine Regionen Kapitel 5: Vordergrunderkennung Kapitel 6: Matrix Chernoff gebunden Kapitel 7: Ähnlichkeit Kapitel 8: Strukturelle Ähnlichkeit Kapitel 9: Varianzfunktion Kapitel 10: Fréchet-Anfangsentfernung (II) Beantwortung der häufigsten öffentlichen Fragen zum Thema Computer-Stereovision. (III) Beispiele aus der Praxis für den Einsatz von Computer-Stereovision in vielen Bereichen. Für wen dieses Buch gedacht ist Profis, Studenten und Doktoranden, Enthusiasten, Hobbyisten und diejenigen, die über grundlegende Kenntnisse oder Informationen für jede Art von Computer-Stereo-Vision hinausgehen möchten.

Scintillation Dosimetry

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Author :
Publisher : CRC Press
ISBN 13 : 1482209004
Total Pages : 416 pages
Book Rating : 4.4/5 (822 download)

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Book Synopsis Scintillation Dosimetry by : Sam Beddar

Download or read book Scintillation Dosimetry written by Sam Beddar and published by CRC Press. This book was released on 2016-04-06 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: Scintillation Dosimetry delivers a comprehensive introduction to plastic scintillation dosimetry, covering everything from basic radiation dosimetry concepts to plastic scintillating fiber optics. Comprised of chapters authored by leading experts in the medical physics community, the book: Discusses a broad range of technical implementations, from point source dosimetry scaling to 3D-volumetric and 4D-scintillation dosimetry Addresses a wide scope of clinical applications, from machine quality assurance to small-field and in vivo dosimetry Examines related optical techniques, such as optically stimulated luminescence (OSL) or Čerenkov luminescence Thus, Scintillation Dosimetry provides an authoritative reference for detailed, state-of-the-art information on plastic scintillation dosimetry and its use in the field of radiation dosimetry.

View Synthesis Using Stereo Vision

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Author :
Publisher : Springer
ISBN 13 : 9783540661597
Total Pages : 172 pages
Book Rating : 4.6/5 (615 download)

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Book Synopsis View Synthesis Using Stereo Vision by : Daniel Scharstein

Download or read book View Synthesis Using Stereo Vision written by Daniel Scharstein and published by Springer. This book was released on 1999-06-09 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: Image-based rendering, as an area of overlap between computer graphics and computer vision, uses computer vision techniques to aid in sythesizing new views of scenes. Image-based rendering methods are having a substantial impact on the field of computer graphics, and also play an important role in the related field of multimedia systems, for applications such as teleconferencing, remote instruction and surgery, virtual reality and entertainment. The book develops a novel way of formalizing the view synthesis problem under the full perspective model, yielding a clean, linear warping equation. It shows new techniques for dealing with visibility issues such as partial occlusion and "holes". Furthermore, the author thoroughly re-evaluates the requirements that view synthesis places on stereo algorithms and introduces two novel stereo algorithms specifically tailored to the application of view synthesis.

Intelligent Robotics and Applications

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Publisher : Springer Science & Business Media
ISBN 13 : 3642108164
Total Pages : 1315 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Intelligent Robotics and Applications by : Ming Xie

Download or read book Intelligent Robotics and Applications written by Ming Xie and published by Springer Science & Business Media. This book was released on 2009-12-14 with total page 1315 pages. Available in PDF, EPUB and Kindle. Book excerpt: The market demands for skills, knowledge and personalities have positioned robotics as an important field in both engineering and science. To meet these challenging - mands, robotics has already seen its success in automating many industrial tasks in factories. And, a new era will come for us to see a greater success of robotics in n- industrial environments. In anticipating a wider deployment of intelligent and auto- mous robots for tasks such as manufacturing, eldercare, homecare, edutainment, search and rescue, de-mining, surveillance, exploration, and security missions, it is necessary for us to push the frontier of robotics into a new dimension, in which motion and intelligence play equally important roles. After the success of the inaugural conference, the purpose of the Second Inter- tional Conference on Intelligent Robotics and Applications was to provide a venue where researchers, scientists, engineers and practitioners throughout the world could come together to present and discuss the latest achievement, future challenges and exciting applications of intelligent and autonomous robots. In particular, the emphasis of this year’s conference was on “robot intelligence for achieving digital manufact- ing and intelligent automations. ” This volume of Springer’s Lecture Notes in Artificial Intelligence and Lecture Notes in Computer Science contains accepted papers presented at ICIRA 2009, held in Singapore, December 16–18, 2009. On the basis of the reviews and recommendations by the international Program Committee members, we decided to accept 128 papers having technical novelty, out of 173 submissions received from different parts of the world.

3D Computer Vision

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Author :
Publisher : Springer Science & Business Media
ISBN 13 : 1447141504
Total Pages : 390 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis 3D Computer Vision by : Christian Wöhler

Download or read book 3D Computer Vision written by Christian Wöhler and published by Springer Science & Business Media. This book was released on 2012-07-23 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: This indispensable text introduces the foundations of three-dimensional computer vision and describes recent contributions to the field. Fully revised and updated, this much-anticipated new edition reviews a range of triangulation-based methods, including linear and bundle adjustment based approaches to scene reconstruction and camera calibration, stereo vision, point cloud segmentation, and pose estimation of rigid, articulated, and flexible objects. Also covered are intensity-based techniques that evaluate the pixel grey values in the image to infer three-dimensional scene structure, and point spread function based approaches that exploit the effect of the optical system. The text shows how methods which integrate these concepts are able to increase reconstruction accuracy and robustness, describing applications in industrial quality inspection and metrology, human-robot interaction, and remote sensing.

Depth Map and 3D Imaging Applications: Algorithms and Technologies

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Author :
Publisher : IGI Global
ISBN 13 : 161350327X
Total Pages : 648 pages
Book Rating : 4.6/5 (135 download)

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Book Synopsis Depth Map and 3D Imaging Applications: Algorithms and Technologies by : Malik, Aamir Saeed

Download or read book Depth Map and 3D Imaging Applications: Algorithms and Technologies written by Malik, Aamir Saeed and published by IGI Global. This book was released on 2011-11-30 with total page 648 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the last decade, significant progress has been made in 3D imaging research. As a result, 3D imaging methods and techniques are being employed for various applications, including 3D television, intelligent robotics, medical imaging, and stereovision. Depth Map and 3D Imaging Applications: Algorithms and Technologies present various 3D algorithms developed in the recent years and to investigate the application of 3D methods in various domains. Containing five sections, this book offers perspectives on 3D imaging algorithms, 3D shape recovery, stereoscopic vision and autostereoscopic vision, 3D vision for robotic applications, and 3D imaging applications. This book is an important resource for professionals, scientists, researchers, academics, and software engineers in image/video processing and computer vision.

Multiple View Geometry in Computer Vision

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Author :
Publisher : Cambridge University Press
ISBN 13 : 9780521540513
Total Pages : 676 pages
Book Rating : 4.5/5 (45 download)

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Book Synopsis Multiple View Geometry in Computer Vision by : Richard Hartley

Download or read book Multiple View Geometry in Computer Vision written by Richard Hartley and published by Cambridge University Press. This book was released on 2003 with total page 676 pages. Available in PDF, EPUB and Kindle. Book excerpt: A basic problem in computer vision is to understand the structure of a real world scene given several images of it. Techniques for solving this problem are taken from projective geometry and photogrammetry. Here, the authors cover the geometric principles and their algebraic representation in terms of camera projection matrices, the fundamental matrix and the trifocal tensor. The theory and methods of computation of these entities are discussed with real examples, as is their use in the reconstruction of scenes from multiple images. The new edition features an extended introduction covering the key ideas in the book (which itself has been updated with additional examples and appendices) and significant new results which have appeared since the first edition. Comprehensive background material is provided, so readers familiar with linear algebra and basic numerical methods can understand the projective geometry and estimation algorithms presented, and implement the algorithms directly from the book.

An Introduction to 3D Computer Vision Techniques and Algorithms

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 1119964474
Total Pages : 485 pages
Book Rating : 4.1/5 (199 download)

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Book Synopsis An Introduction to 3D Computer Vision Techniques and Algorithms by : Boguslaw Cyganek

Download or read book An Introduction to 3D Computer Vision Techniques and Algorithms written by Boguslaw Cyganek and published by John Wiley & Sons. This book was released on 2011-08-10 with total page 485 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer vision encompasses the construction of integrated vision systems and the application of vision to problems of real-world importance. The process of creating 3D models is still rather difficult, requiring mechanical measurement of the camera positions or manual alignment of partial 3D views of a scene. However using algorithms, it is possible to take a collection of stereo-pair images of a scene and then automatically produce a photo-realistic, geometrically accurate digital 3D model. This book provides a comprehensive introduction to the methods, theories and algorithms of 3D computer vision. Almost every theoretical issue is underpinned with practical implementation or a working algorithm using pseudo-code and complete code written in C++ and MatLab®. There is the additional clarification of an accompanying website with downloadable software, case studies and exercises. Organised in three parts, Cyganek and Siebert give a brief history of vision research, and subsequently: present basic low-level image processing operations for image matching, including a separate chapter on image matching algorithms; explain scale-space vision, as well as space reconstruction and multiview integration; demonstrate a variety of practical applications for 3D surface imaging and analysis; provide concise appendices on topics such as the basics of projective geometry and tensor calculus for image processing, distortion and noise in images plus image warping procedures. An Introduction to 3D Computer Vision Algorithms and Techniques is a valuable reference for practitioners and programmers working in 3D computer vision, image processing and analysis as well as computer visualisation. It would also be of interest to advanced students and researchers in the fields of engineering, computer science, clinical photography, robotics, graphics and mathematics.

Concise Computer Vision

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Publisher : Springer Science & Business Media
ISBN 13 : 1447163206
Total Pages : 429 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Concise Computer Vision by : Reinhard Klette

Download or read book Concise Computer Vision written by Reinhard Klette and published by Springer Science & Business Media. This book was released on 2014-01-04 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook provides an accessible general introduction to the essential topics in computer vision. Classroom-tested programming exercises and review questions are also supplied at the end of each chapter. Features: provides an introduction to the basic notation and mathematical concepts for describing an image and the key concepts for mapping an image into an image; explains the topologic and geometric basics for analysing image regions and distributions of image values and discusses identifying patterns in an image; introduces optic flow for representing dense motion and various topics in sparse motion analysis; describes special approaches for image binarization and segmentation of still images or video frames; examines the basic components of a computer vision system; reviews different techniques for vision-based 3D shape reconstruction; includes a discussion of stereo matchers and the phase-congruency model for image features; presents an introduction into classification and learning.

Object Detection by Stereo Vision Images

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Publisher : John Wiley & Sons
ISBN 13 : 1119842190
Total Pages : 293 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis Object Detection by Stereo Vision Images by : R. Arokia Priya

Download or read book Object Detection by Stereo Vision Images written by R. Arokia Priya and published by John Wiley & Sons. This book was released on 2022-09-14 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: OBJECT DETECTION BY STEREO VISION IMAGES Since both theoretical and practical aspects of the developments in this field of research are explored, including recent state-of-the-art technologies and research opportunities in the area of object detection, this book will act as a good reference for practitioners, students, and researchers. Current state-of-the-art technologies have opened up new opportunities in research in the areas of object detection and recognition of digital images and videos, robotics, neural networks, machine learning, stereo vision matching algorithms, soft computing, customer prediction, social media analysis, recommendation systems, and stereo vision. This book has been designed to provide directions for those interested in researching and developing intelligent applications to detect an object and estimate depth. In addition to focusing on the performance of the system using high-performance computing techniques, a technical overview of certain tools, languages, libraries, frameworks, and APIs for developing applications is also given. More specifically, detection using stereo vision images/video from its developmental stage up till today, its possible applications, and general research problems relating to it are covered. Also presented are techniques and algorithms that satisfy the peculiar needs of stereo vision images along with emerging research opportunities through analysis of modern techniques being applied to intelligent systems. Audience Researchers in information technology looking at robotics, deep learning, machine learning, big data analytics, neural networks, pattern & data mining, and image and object recognition. Industrial sectors include automotive electronics, security and surveillance systems, and online retailers.