Descripción del título

Endowing machines with a sense of vision has been a dream of scientists and engineers alike for over half a century. Only in the past decade, however, has the geometry of vision been understood to the point where this dream becomes attainable, thanks also to the remarkable progress in imaging and computing hardware. This book addresses a central problem in computer vision -- how to recover 3-D structure and motion from a collection of 2-D images -- using techniques drawn mainly from linear algebra and matrix theory. The stress is on developing a unified framework for studying the geometry of multiple images of a 3-D scene and reconstructing geometric models from those images. The book also covers relevant aspects of image formation, basic image processing, and feature extraction. The authors bridge the gap between theory and practice by providing step-by-step instructions for the implementation of working vision algorithms and systems. Written primarily as a textbook, the aim of this book is to give senior undergraduate and beginning graduate students in computer vision, robotics, and computer graphics a solid theoretical and algorithmic foundation for future research in this burgeoning field. It is entirely self-contained with necessary background material covered in the beginning chapters and appendices, and plenty of exercises, examples, and illustrations given throughout the text
Monografía
monografia Rebiun25198311 https://catalogo.rebiun.org/rebiun/record/Rebiun25198311 m o d cr zn||||||||| 030307s2004 nyua ob 001 0 eng d 814270179 968552448 1044174749 1056278288 1060842289 9780387217796 electronic bk.) 0387217797 electronic bk.) 9781441918468 print) 1441918469 print) 1280189622 9781280189623 6610189625 9786610189625 0387008934 9780387008936 10.1007/978-0-387-21779-6 doi AU@ 000051744831 AU@ 000065064170 NLGGC 401200485 NZ1 14977827 NZ1 15296907 UAB eng pn UAB OCLCG OCLCQ IDEBK OCLCQ I9W OCLCO GW5XE OCLCF OCLCQ OCLCA COO OCLCQ YDX OCLCQ UAB OCLCQ CEF U3W TKN LEAUB AU@ OCLCA OCLCQ UKBTH UKAHL PBKQ bicssc 006.3/7 21 An invitation to 3-D vision from images to geometric models Yi Ma [and others] New York Springer 2004 New York New York Springer 1 online resource 1 online resource Text txt rdacontent computer c rdamedia online resource cr rdacarrier Texts in applied mathematics Includes bibliographical references (pages 487-508) and index Introduction.- Part I: Introductory Material -- Representation of a Three -- Dimensional Moving Scene -- Image Formation -- Image Primitives and Correspondence -- Part II: Geometry of two Views -- Reconstruction from Two Calibrated Views -- Estimation of Multiple Motions from Two Views -- Part III: Geometry of Multiple Views -- Multiple- view Geometry of Points and Lines -- Extension to General Incidence Relations -- Geometry and Reconstruction from Symmetry -- Part IV: Applications -- Step-by-Step building of a 3-D Model From Images -- Visual Feedback -- Part Endowing machines with a sense of vision has been a dream of scientists and engineers alike for over half a century. Only in the past decade, however, has the geometry of vision been understood to the point where this dream becomes attainable, thanks also to the remarkable progress in imaging and computing hardware. This book addresses a central problem in computer vision -- how to recover 3-D structure and motion from a collection of 2-D images -- using techniques drawn mainly from linear algebra and matrix theory. The stress is on developing a unified framework for studying the geometry of multiple images of a 3-D scene and reconstructing geometric models from those images. The book also covers relevant aspects of image formation, basic image processing, and feature extraction. The authors bridge the gap between theory and practice by providing step-by-step instructions for the implementation of working vision algorithms and systems. Written primarily as a textbook, the aim of this book is to give senior undergraduate and beginning graduate students in computer vision, robotics, and computer graphics a solid theoretical and algorithmic foundation for future research in this burgeoning field. It is entirely self-contained with necessary background material covered in the beginning chapters and appendices, and plenty of exercises, examples, and illustrations given throughout the text Computer vision Computer graphics Three-dimensional display systems Computer graphics. Computer vision. Three-dimensional display systems. Applied Physics. Engineering & Applied Sciences. Electronic books May, I. 1972-) Print version Invitation to 3-D vision. New York : Springer, 2004 (DLC) 2003045458 Texts in applied mathematics