The Geometry of Multiple Images: The Laws That Govern the Formation of Multiple Images of a Scene and Some of Their Applications

作者: Quang-Tuan Luong , Olivier Faugeras , T. Papadopoulou

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关键词: Perspective (geometry)Computer scienceNatural languageEuclidean geometryMachine visionGeometryImage formationAffine transformationLawFeature (computer vision)Projective geometry

摘要: From the Publisher: with contributions from Theo Papadopoulo Over last forty years, researchers have made great strides in elucidating laws of image formation, processing, and understanding by animals, humans, machines. This book describes state knowledge one subarea vision, geometric that relate different views a scene. Geometry, oldest branches mathematics, is natural language for describing three-dimensional shapes spatial relations. Projective geometry, geometry best models provides unified framework thinking about many problems relevant to vision. The formalizes analyzes relations between multiple scene perspective various types geometries. A key feature it considers Euclidean affine geometries as special cases projective geometry. Images play prominent role computer communications. Producers users images, particular require stating solving problems. offers number conceptual tools theoretical results useful design machine vision algorithms. It also illustrates these with examples real applications.

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