The geometry of multiple images the laws that govern the formation of multiple images of a scene and some of their applications

This book formalizes and analyzes the relations between multiple views of a scene from the perspective of various types of geometries. A key feature is that it considers Euclidean and affine geometries as special cases of projective geometry.Over the last forty years, researchers have made great str...

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Bibliographic Details
Main Author: Faugeras, Olivier
Other Authors: Luong, Quang-Tuan, Papadopoulo, Théo
Format: eBook
Language:English
Published: Cambridge, Mass. MIT Press 2001
Subjects:
Online Access:
Collection: MIT Press eBook Archive - Collection details see MPG.ReNa
Description
Summary:This book formalizes and analyzes the relations between multiple views of a scene from the perspective of various types of geometries. A key feature is that it considers Euclidean and affine geometries as special cases of projective geometry.Over the last forty years, researchers have made great strides in elucidating the laws of image formation, processing, and understanding by animals, humans, and machines. This book describes the state of knowledge in one subarea of vision, the geometric laws that relate different views of a scene. Geometry, one of the oldest branches of mathematics, is the natural language for describing three-dimensional shapes and spatial relations. Projective geometry, the geometry that best models image formation, provides a unified framework for thinking about many geometric problems are relevant to vision. The book formalizes and analyzes the relations between multiple views of a scene from the perspective of various types of geometries. A key feature is that it considers Euclidean and affine geometries as special cases of projective geometry. Images play a prominent role in computer communications. Producers and users of images, in particular three-dimensional images, require a framework for stating and solving problems. The book offers a number of conceptual tools and theoretical results useful for the design of machine vision algorithms. It also illustrates these tools and results with many examples of real applications
Physical Description:xxiv, 644 pages illustrations
ISBN:9780262272513
0585392951
9780585392950
0262272512