Publisher: | Cambridge University Press |

Category: | Cambridge University |

Author: | Richard Hartley |

Edition: | 2 |

ISBN-10: | 0521540518 |

ISBN-13: | 9780521540513 |

Pages: | 670 |

Published: | Mar 25 2004 |

Posted: | Aug 09 2016 |

Language: | English |

Book format: | |

Book size: | 10.26 MB |

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.

Jun 30 2016 A complete overview of the geometry associated with computer graphics that provides everything a reader needs to understand the topic. Includes a summary hundreds of formulae used to solve 2D and 3D geometric problems; worked examples; proofs; mathematical strategies for solving geometric problems; a glossary of terms used in geometry....

Jun 30 2016 The typical computational approach to object understanding derives shape information from the 2D outline of the objects. For complex object structures, however, such a planar approach cannot determine object shape; the structural edges have to be encoded in terms of their full 3D spatial configuration. Computer Vision: From Surfaces to 3D Objects is the first book to take a full approach to the challenging issue of veridical 3D object representation. It introduces mathematical and conceptual advances that offer an unprecedented framework for analyzing the complex scene structure of the world. ...

Jun 30 2016 Based on the highly successful 3-volume reference Handbook of Computer Vision and Applications, this concise edition covers in a single volume the entire spectrum of computer vision ranging form the imaging process to high-end algorithms and applications. This book consists of three parts, including an application gallery, and is accompanied by a companion website * Bridges the gap between theory and practical applications* Covers modern concepts in computer vision as well as modern developments in imaging sensor technology* Presents a unique interdisciplinary approach covering different areas...

Jun 30 2016 This book brings together a wealth of experiences from leading researchers in the field of Embedded Computer vision, from both academic and industrial research labs. Lately there is a major shift in the way computer vision applications are implemented and even developed. This book covers a broad range of challenges and trade offs brought by this paradigm shift. Part I, the introductory chapters, discusses pioneers in the field, providing an exposition of early work in the area necessary for understanding the present and future work. Part II, offers chapters, based on the most recent research ...

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