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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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Dissertation

Free Viewpoint Video Synthesis from Uncalibrated Cameras

TL;DR: An automatic method for weakly calibrating pure rotating and zooming cameras which are commonly used when capturing videos in a large scene and a new plane-sweep algorithm in PGS which can reconstruct and render new view images in real-time are proposed.
Posted Content

A New Way to Factorize Linear Cameras.

TL;DR: The implementation details of factorizing the 3x4 projection matrices of linear cameras into their left matrix factors and the 4x4 homogeneous central central projection factors are presented in this work.
Dissertation

Affine multi-view modelling for close range object measurement

M. Rova
TL;DR: This project investigates affine multi-view modelling from a photogrammetric standpoint and finds that the affine method results in an RMS image misclosure at a sub-pixel level and precisions of a few tenths of microns in object space.
Dissertation

Reconstruction 3D de l'environnement dynamique d'un véhicule à l'aide d'un système multi-caméras hétérogène en stéréo wide-baseline

TL;DR: In this article, the authors present a set of methods for SLAM multi-cameras, including stereo and monoculaires, for reconstructing a vehicle's interior.
Posted Content

Internal Constraints of the Trifocal Tensor

TL;DR: A second set of minimal and sucient constraints that is simpler is derived and it is shown how this can be used in a new parameterization of the trifocal tensor, which has become an integral part of many projective reconstruction algorithms.
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