Author: Bernard Buxton
Publisher: Springer Science & Business Media
ISBN: 9783540611233
Category : Computer vision
Languages : en
Pages : 758
Book Description
Computer Vision - ECCV'96
Author: Bernard Buxton
Publisher: Springer Science & Business Media
ISBN: 9783540611233
Category : Computer vision
Languages : en
Pages : 758
Book Description
Publisher: Springer Science & Business Media
ISBN: 9783540611233
Category : Computer vision
Languages : en
Pages : 758
Book Description
Computer Vision
Author: Richard Szeliski
Publisher: Springer Science & Business Media
ISBN: 1848829353
Category : Computers
Languages : en
Pages : 824
Book Description
Computer Vision: Algorithms and Applications explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both for specialized applications such as medical imaging, and for fun, consumer-level tasks such as image editing and stitching, which students can apply to their own personal photos and videos. More than just a source of “recipes,” this exceptionally authoritative and comprehensive textbook/reference also takes a scientific approach to basic vision problems, formulating physical models of the imaging process before inverting them to produce descriptions of a scene. These problems are also analyzed using statistical models and solved using rigorous engineering techniques. Topics and features: structured to support active curricula and project-oriented courses, with tips in the Introduction for using the book in a variety of customized courses; presents exercises at the end of each chapter with a heavy emphasis on testing algorithms and containing numerous suggestions for small mid-term projects; provides additional material and more detailed mathematical topics in the Appendices, which cover linear algebra, numerical techniques, and Bayesian estimation theory; suggests additional reading at the end of each chapter, including the latest research in each sub-field, in addition to a full Bibliography at the end of the book; supplies supplementary course material for students at the associated website, http://szeliski.org/Book/. Suitable for an upper-level undergraduate or graduate-level course in computer science or engineering, this textbook focuses on basic techniques that work under real-world conditions and encourages students to push their creative boundaries. Its design and exposition also make it eminently suitable as a unique reference to the fundamental techniques and current research literature in computer vision.
Publisher: Springer Science & Business Media
ISBN: 1848829353
Category : Computers
Languages : en
Pages : 824
Book Description
Computer Vision: Algorithms and Applications explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both for specialized applications such as medical imaging, and for fun, consumer-level tasks such as image editing and stitching, which students can apply to their own personal photos and videos. More than just a source of “recipes,” this exceptionally authoritative and comprehensive textbook/reference also takes a scientific approach to basic vision problems, formulating physical models of the imaging process before inverting them to produce descriptions of a scene. These problems are also analyzed using statistical models and solved using rigorous engineering techniques. Topics and features: structured to support active curricula and project-oriented courses, with tips in the Introduction for using the book in a variety of customized courses; presents exercises at the end of each chapter with a heavy emphasis on testing algorithms and containing numerous suggestions for small mid-term projects; provides additional material and more detailed mathematical topics in the Appendices, which cover linear algebra, numerical techniques, and Bayesian estimation theory; suggests additional reading at the end of each chapter, including the latest research in each sub-field, in addition to a full Bibliography at the end of the book; supplies supplementary course material for students at the associated website, http://szeliski.org/Book/. Suitable for an upper-level undergraduate or graduate-level course in computer science or engineering, this textbook focuses on basic techniques that work under real-world conditions and encourages students to push their creative boundaries. Its design and exposition also make it eminently suitable as a unique reference to the fundamental techniques and current research literature in computer vision.
ECOOP '96 - Object-Oriented Programming
Author: Pierre Cointe
Publisher: Springer Science & Business Media
ISBN: 9783540614395
Category : Computers
Languages : en
Pages : 520
Book Description
This book constitutes the refereed proceedings of the 10th European Conference on Object-Oriented Programming, ECOOP '96, held in Linz, Austria, in July 1996. The 21 full papers included in revised version were selected from a total of 173 submissions, based on technical quality and originality criteria. The papers reflect the most advanced issues in the field of object-oriented programming and cover a wide range of current topics, including applications, programming languages, implementation, specification, distribution, databases, and design.
Publisher: Springer Science & Business Media
ISBN: 9783540614395
Category : Computers
Languages : en
Pages : 520
Book Description
This book constitutes the refereed proceedings of the 10th European Conference on Object-Oriented Programming, ECOOP '96, held in Linz, Austria, in July 1996. The 21 full papers included in revised version were selected from a total of 173 submissions, based on technical quality and originality criteria. The papers reflect the most advanced issues in the field of object-oriented programming and cover a wide range of current topics, including applications, programming languages, implementation, specification, distribution, databases, and design.
3D Reconstruction from Multiple Images
Author: Theo Moons
Publisher: Now Publishers Inc
ISBN: 1601982844
Category : Computers
Languages : en
Pages : 128
Book Description
The issue discusses methods to extract 3-dimensional (3D) models from plain images. In particular, the 3D information is obtained from images for which the camera parameters are unknown. The principles underlying such uncalibrated structure-from-motion methods are outlined. First, a short review of 3D acquisition technologies puts such methods in a wider context, and highlights their important advantages. Then, the actual theory behind this line of research is given. The authors have tried to keep the text maximally self-contained, therefore also avoiding to rely on an extensive knowledge of the projective concepts that usually appear in texts about self-calibration 3D methods. Rather, mathematical explanations that are more amenable to intuition are given. The explanation of the theory includes the stratification of reconstructions obtained from image pairs as well as metric reconstruction on the basis of more than 2 images combined with some additional knowledge about the cameras used. Readers who want to obtain more practical information about how to implement such uncalibrated structure-from-motion pipelines may be interested in two more Foundations and Trends issues written by the same authors. Together with this issue they can be read as a single tutorial on the subject.
Publisher: Now Publishers Inc
ISBN: 1601982844
Category : Computers
Languages : en
Pages : 128
Book Description
The issue discusses methods to extract 3-dimensional (3D) models from plain images. In particular, the 3D information is obtained from images for which the camera parameters are unknown. The principles underlying such uncalibrated structure-from-motion methods are outlined. First, a short review of 3D acquisition technologies puts such methods in a wider context, and highlights their important advantages. Then, the actual theory behind this line of research is given. The authors have tried to keep the text maximally self-contained, therefore also avoiding to rely on an extensive knowledge of the projective concepts that usually appear in texts about self-calibration 3D methods. Rather, mathematical explanations that are more amenable to intuition are given. The explanation of the theory includes the stratification of reconstructions obtained from image pairs as well as metric reconstruction on the basis of more than 2 images combined with some additional knowledge about the cameras used. Readers who want to obtain more practical information about how to implement such uncalibrated structure-from-motion pipelines may be interested in two more Foundations and Trends issues written by the same authors. Together with this issue they can be read as a single tutorial on the subject.
Foundations of Intelligent Systems
Author: Zbigniew W. Ras
Publisher: Springer Science & Business Media
ISBN: 9783540612865
Category : Computers
Languages : en
Pages : 684
Book Description
This book constitutes the refereed proceedings of the 9th International Symposium on Methodologies for Intelligent Systems, ISMIS '96, held in Zakopane, Poland, in June 1996. The 53 revised full papers presented were selected from a total of 124 submissions; also included are 10 invited papers by leading experts surveying the state of the art in the area. The volume covers the following areas: approximate reasoning, evolutionary computation, intelligent information systems, knowledge representation and integration, learning and knowledge discovery, and AI logics.
Publisher: Springer Science & Business Media
ISBN: 9783540612865
Category : Computers
Languages : en
Pages : 684
Book Description
This book constitutes the refereed proceedings of the 9th International Symposium on Methodologies for Intelligent Systems, ISMIS '96, held in Zakopane, Poland, in June 1996. The 53 revised full papers presented were selected from a total of 124 submissions; also included are 10 invited papers by leading experts surveying the state of the art in the area. The volume covers the following areas: approximate reasoning, evolutionary computation, intelligent information systems, knowledge representation and integration, learning and knowledge discovery, and AI logics.
Cognitive Vision Systems
Author: Henrik I. Christensen
Publisher: Springer
ISBN: 3540339728
Category : Computers
Languages : en
Pages : 355
Book Description
This volume is a post-event proceedings volume and contains selected papers based on the presentations given, and the lively discussions that ensued, during a seminar held in Dagstuhl Castle, Germany, in October 2003. Co-sponsored by ECVision, the cognitive vision network of excellence, it was organized to further strengthen cooperation between research groups from different countries working in the field of cognitive vision systems.
Publisher: Springer
ISBN: 3540339728
Category : Computers
Languages : en
Pages : 355
Book Description
This volume is a post-event proceedings volume and contains selected papers based on the presentations given, and the lively discussions that ensued, during a seminar held in Dagstuhl Castle, Germany, in October 2003. Co-sponsored by ECVision, the cognitive vision network of excellence, it was organized to further strengthen cooperation between research groups from different countries working in the field of cognitive vision systems.
Database and Expert Systems Applications
Author: Roland R. Wagner
Publisher: Springer Science & Business Media
ISBN: 9783540616566
Category : Business & Economics
Languages : en
Pages : 952
Book Description
Content Description #Includes bibliographical references and index.
Publisher: Springer Science & Business Media
ISBN: 9783540616566
Category : Business & Economics
Languages : en
Pages : 952
Book Description
Content Description #Includes bibliographical references and index.
Automatic Extraction of Man-made Objects from Aerial and Satellite Images III
Author: E.P. Baltsavias
Publisher: CRC Press
ISBN: 9789058092526
Category : Computers
Languages : en
Pages : 436
Book Description
This work is a collection of papers from the world's leading research groups in the field of automatic extraction of objects, especially buildings and roads, from aerial and space imagery, including new sensors like SAR and lidar.
Publisher: CRC Press
ISBN: 9789058092526
Category : Computers
Languages : en
Pages : 436
Book Description
This work is a collection of papers from the world's leading research groups in the field of automatic extraction of objects, especially buildings and roads, from aerial and space imagery, including new sensors like SAR and lidar.
Landmark-Based Image Analysis
Author: Karl Rohr
Publisher: Springer Science & Business Media
ISBN: 9401597871
Category : Computers
Languages : en
Pages : 314
Book Description
Landmarks are preferred image features for a variety of computer vision tasks such as image mensuration, registration, camera calibration, motion analysis, 3D scene reconstruction, and object recognition. Main advantages of using landmarks are robustness w. r. t. lightning conditions and other radiometric vari ations as well as the ability to cope with large displacements in registration or motion analysis tasks. Also, landmark-based approaches are in general com putationally efficient, particularly when using point landmarks. Note, that the term landmark comprises both artificial and natural landmarks. Examples are comers or other characteristic points in video images, ground control points in aerial images, anatomical landmarks in medical images, prominent facial points used for biometric verification, markers at human joints used for motion capture in virtual reality applications, or in- and outdoor landmarks used for autonomous navigation of robots. This book covers the extraction oflandmarks from images as well as the use of these features for elastic image registration. Our emphasis is onmodel-based approaches, i. e. on the use of explicitly represented knowledge in image analy sis. We principally distinguish between geometric models describing the shape of objects (typically their contours) and intensity models, which directly repre sent the image intensities, i. e. ,the appearance of objects. Based on these classes of models we develop algorithms and methods for analyzing multimodality im ages such as traditional 20 video images or 3D medical tomographic images.
Publisher: Springer Science & Business Media
ISBN: 9401597871
Category : Computers
Languages : en
Pages : 314
Book Description
Landmarks are preferred image features for a variety of computer vision tasks such as image mensuration, registration, camera calibration, motion analysis, 3D scene reconstruction, and object recognition. Main advantages of using landmarks are robustness w. r. t. lightning conditions and other radiometric vari ations as well as the ability to cope with large displacements in registration or motion analysis tasks. Also, landmark-based approaches are in general com putationally efficient, particularly when using point landmarks. Note, that the term landmark comprises both artificial and natural landmarks. Examples are comers or other characteristic points in video images, ground control points in aerial images, anatomical landmarks in medical images, prominent facial points used for biometric verification, markers at human joints used for motion capture in virtual reality applications, or in- and outdoor landmarks used for autonomous navigation of robots. This book covers the extraction oflandmarks from images as well as the use of these features for elastic image registration. Our emphasis is onmodel-based approaches, i. e. on the use of explicitly represented knowledge in image analy sis. We principally distinguish between geometric models describing the shape of objects (typically their contours) and intensity models, which directly repre sent the image intensities, i. e. ,the appearance of objects. Based on these classes of models we develop algorithms and methods for analyzing multimodality im ages such as traditional 20 video images or 3D medical tomographic images.
Visual Perception Through Video Imagery
Author: Michel Dhome
Publisher: John Wiley & Sons
ISBN: 1118624009
Category : Technology & Engineering
Languages : en
Pages : 207
Book Description
For several decades researchers have tried to construct perception systems based on the registration data from video cameras. This work has produced various tools that have made recent advances possible in this area. Part 1 of this book deals with the problem of the calibration and auto-calibration of video captures. Part 2 is essentially concerned with the estimation of the relative object/capture position when a priori information is introduced (the CAD model of the object). Finally, Part 3 discusses the inference of density information and the shape recognition in images.
Publisher: John Wiley & Sons
ISBN: 1118624009
Category : Technology & Engineering
Languages : en
Pages : 207
Book Description
For several decades researchers have tried to construct perception systems based on the registration data from video cameras. This work has produced various tools that have made recent advances possible in this area. Part 1 of this book deals with the problem of the calibration and auto-calibration of video captures. Part 2 is essentially concerned with the estimation of the relative object/capture position when a priori information is introduced (the CAD model of the object). Finally, Part 3 discusses the inference of density information and the shape recognition in images.