An Introduction to 3D Computer Vision Techniques and Algorithms

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9780470017043: An Introduction to 3D Computer Vision Techniques and Algorithms
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Computer vision encompasses the construction of integrated visionsystems and the application of vision to problems of real-worldimportance. The process of creating 3D models is still ratherdifficult, requiring mechanical measurement of the camera positionsor manual alignment of partial 3D views of a scene. However usingalgorithms, it is possible to take a collection of stereo-pairimages 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 everytheoretical issue is underpinned with practical implementation or aworking algorithm using pseudo-code and complete code written inC++ and MatLab®. There is the additional clarification of anaccompanying website with downloadable software, case studies andexercises. Organised in three parts, Cyganek and Siebert give abrief history of vision research, and subsequently:  

  • present basic low-level image processing operations for imagematching, including a separate chapter on image matchingalgorithms;
  • explain scale-space vision, as well as space reconstruction andmultiview integration;
  • demonstrate a variety of practical applications for 3D surfaceimaging and analysis;
  • provide concise appendices on topics such as the basics ofprojective geometry and tensor calculus for image processing,distortion and noise in images plus image warping procedures.

An Introduction to 3D Computer Vision Algorithms andTechniques is a valuable reference for practitioners andprogrammers working in 3D computer vision, image processing andanalysis as well as computer visualisation. It would also be ofinterest to advanced students and researchers in the fields ofengineering, computer science, clinical photography, robotics,graphics and mathematics.

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About the Author:

Boguslaw Cyganek, AGH – University of Science andTechnology, Department of Computer Science, Signal ProcessingLaboratory, Krakow, Poland

Boguslaw Cyganek has been teaching at the AGH – Universityof Science and Technology since 1993 and is now a Lecturer andResearcher in the Department of Electronics and Computer Science.His research interests include the development of image processingsystems, robot vision and neural networks. During this time, he hasgained several years of practical experience working as a SoftwareDevelopment Manager and a Software Engineer both in the USA andPoland. He has also written Three Dimensional ImageProcessing (Academic Publisher House, 2002) and 18 academicpapers on image processing and algorithms.

Paul Siebert, Department of Computing Science, Universityof Glasgow, 3D-MATIC Research Laboratory, Scotland

Dr Jan Paul Siebert is currently Director of the 3D-MATICResearch Laboratory in the Department of Computing Science atGlasgow University. His research interests are in computer vision,image processing, and 3D imaging by stereo photogrammetry and itsapplications in 3D whole human body imaging. He is Scottish Chairof the BMVC and prior to his current position he was ChiefExecutive of the of the Turing Institute, Glasgow, which developedthe ‘C3D’ imaging technology. He has written over 50journal, technical and conference papers on 3D image processing,modelling virtual images and photogrammetry.

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“This text is a valuable reference for practitioners andprogrammers working in 3D computer vision, image processing andanalysis as well as computer visualisation. It would also be ofinterest to advanced students and researchers in the fields ofengineering, computer science, clinical photography, robotics,graphics and mathematics.”  (Zentralblatt MATH,2012)


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Book Description John Wiley and Sons Ltd, United States, 2009. Hardback. Condition: New. Language: English. Brand new Book. 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(r). 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. Seller Inventory # AAH9780470017043

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Book Description John Wiley and Sons Ltd, United States, 2009. Hardback. Condition: New. Language: English. Brand new Book. 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(r). 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. Seller Inventory # AAH9780470017043

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