作者: Quang-Tuan Luong , Olivier Faugeras , T. Papadopoulou
DOI:
关键词: Perspective (geometry) 、 Computer science 、 Natural language 、 Euclidean geometry 、 Machine vision 、 Geometry 、 Image formation 、 Affine transformation 、 Law 、 Feature (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.