ACCURATE VISUAL METROLOGY FROM SINGLE AND MULTIPLE UNCALIBRATED IMAGES PDF

Download BibTex This monograph presents some research carried out by the author into three- dimensional visual reconstruction during his studies for the achievement of a Doctor of Philosophy Degree at the University of Oxford. The work described in this book develops the theory of computing world measurements e. The main tool used is projective geometry which forms the basis for accurate estimation algorithms. Novel methods are described for computing virtual reality-like environments from any kind of perspective image. The techniques presented employ uncalibrated images; no knowledge of the internal parameters of the camera such as focal length and aspect ratio nor its pose position and orientation with respect to the viewed scene are required at any time.

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Download BibTex This monograph presents some research carried out by the author into three- dimensional visual reconstruction during his studies for the achievement of a Doctor of Philosophy Degree at the University of Oxford. The work described in this book develops the theory of computing world measurements e. The main tool used is projective geometry which forms the basis for accurate estimation algorithms. Novel methods are described for computing virtual reality-like environments from any kind of perspective image.

The techniques presented employ uncalibrated images; no knowledge of the internal parameters of the camera such as focal length and aspect ratio nor its pose position and orientation with respect to the viewed scene are required at any time. Extensive use is made of geometric characteristics of the scene. Thus there is no need for specialized calibration devices. A hierarchy of novel, accurate and flexible techniques is developed to address a number of different situations ranging from the absence of scene metric information to cases where some world distances are known but there is not sufficient information for a complete camera calibration.

The geometry of single views is explored and monocular vision shown to be sufficient to obtain a partial or complete three-dimensional reconstruction of a scene. To achieve this, the properties of planar homographies and planar homologies are extensively exploited. The geometry of multiple views is also investigated, particularly the use of a parallax-based approach for structure and camera recovery. The duality between two-view and three-view configurations is described in detail.

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Accurate Visual Metrology from Single and Multiple Uncalibrated Images

About this book Introduction Accurate Visual Metrology from Single and Multiple Uncalibrated Images presents novel techniques for constructing three-dimensional models from bi-dimensional images using virtual reality tools. Antonio Criminisi develops the mathematical theory of computing world measurements from single images, and builds up a hierarchy of novel, flexible techniques to make measurements and reconstruct three-dimensional scenes from uncalibrated images, paying particular attention to the accuracy of the reconstruction. This book includes examples of interesting viable applications eg. Forensic Science, History of Art, Virtual Reality, Architectural and indoor measurements , presented in a simple way, accompanied by pictures, diagrams and plenty of worked examples to help the reader understand and implement the algorithms. Keywords MoGraph Three dimensional reconstruction algorithms calibration computer vision dimensional metrology distance measurement metrology uncertainty virtual reality Authors and affiliations.

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