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

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TLDR
The state of knowledge in one subarea of vision is described, the geometric laws that relate different views of a scene from the perspective of various types of geometries, which is a unified framework for thinking about many geometric problems relevant to vision.
Abstract
From the Publisher: with contributions from Theo Papadopoulo 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 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.

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Journal ArticleDOI

Fuzzy-genetic optimization of the parameters of a low cost system for the optical measurement of several dimensions of vehicles

TL;DR: It will be shown that a genetic algorithm (GA), guided by a fuzzy characterization of the sources of error, can optimize the placement of the video cameras in a station so that these mentioned sensors can be used to take measurements within the required tolerance.
Book ChapterDOI

Linear Multi View Reconstruction with Missing Data

TL;DR: Fine cameras are represented in a projective framework which is novel and leads to a unified treatment of parallel and perspective projection in a single framework and the presented algorithms to factorization methods, including approaches which handle missing data.
Journal Article

Multiple View Geometry in the Space-Time

TL;DR: In this paper, the authors proposed a method to represent multiple view geometry under projections from 4D space to 3D space and show that it can represent multiple views geometry under the projection of space with time, which is useful for generating images of non-rigid object motions viewed from cameras which have arbitrary translational motions.
Journal ArticleDOI

A method of visual metrology from uncalibrated images

TL;DR: A novel reciprocal-polar (RP) image rectification scheme is presented, which allows planar image motion, expressed as a planar homography, to be accurately detected and recovered by 1D correlation.
Journal ArticleDOI

A New Linear Method for Camera Self-Calibration with Planar Motion

TL;DR: A new linear method is presented to solve the self-calibration problem with planar motion of the camera from three or more images by giving two novel linear constraints on the coordinates of the plane at infinity in a projective reconstruction for any camera motion.
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