Sensor planning for novel view generation by camera networks

Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2006.Includes bibliographical references (p. 75-78).This document describes a system for generating novel views of an indoor visual scene by gathering successive 2D images from a set of independent networked robotic cameras. Specifically, the robotic cameras work to seek out texture and geometric information needed to generate the specified synthetic view or views, aiming to-with each successive camera move-increase confidence in the estimates of the pixel intensities in the novel view(s). This system lays the groundwork for future explorations in multi-camera video recording for electroholography and image-based rendering.by James Barabas.S.M

Vision-assisted modeling for model-based video representations

Thesis (Ph. D.)--Massachusetts Institute of Technology, Program in Media Arts & Sciences, 1997.Includes bibliographical references (leaves 134-145).by Shawn C. Becker.Ph.D

Merging static and dynamic visual media along an event timeline

Thesis (M.S.)--Massachusetts Institute of Technology, Program in Media Arts & Sciences, 1998.Includes bibliographical references (p. 63-65).Kyratso Karahalios.M.S

Geomatics support to the metric documentation of the archaeological heritage. Tests and validations on the use of low-cost, rapid, image-based sensors and systems.

L'abstract è presente nell'allegato / the abstract is in the attachmen

Visual Servoing

The goal of this book is to introduce the visional application by excellent researchers in the world currently and offer the knowledge that can also be applied to another field widely. This book collects the main studies about machine vision currently in the world, and has a powerful persuasion in the applications employed in the machine vision. The contents, which demonstrate that the machine vision theory, are realized in different field. For the beginner, it is easy to understand the development in the vision servoing. For engineer, professor and researcher, they can study and learn the chapters, and then employ another application method

NASA Tech Briefs, February 1991

Topics: New Product Ideas; NASA TU Services; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Machinery; Fabrication Technology; Mathematics and Information Sciences; Life Sciences

Remote Sensing

This dual conception of remote sensing brought us to the idea of preparing two different books; in addition to the first book which displays recent advances in remote sensing applications, this book is devoted to new techniques for data processing, sensors and platforms. We do not intend this book to cover all aspects of remote sensing techniques and platforms, since it would be an impossible task for a single volume. Instead, we have collected a number of high-quality, original and representative contributions in those areas

An investigation of a remote visual navigation system for a building inspection robot

The work presented here shows the development of a machine vision algorithm for finding the position of a building inspection robot on the outside of a large building. The reasons for external building inspection are introduced along with the types of tests used. Existing methods are examined giving their limitations in terms of practicality and safety and an alternative using remote access is proposed. The work concentrates on the navigational aspects and shows how one possible solution using machine vision could be implemented and this is compared to similar work carried out elsewhere. The major part of the thesis covers the development of the robot location algorithm starting with the fundamentals of image processing and finishing with the actual robot's position. Different methods of edge detection are investigated and a pixel linking routine is used to group together data in an image that form features and principal lines. The algorithm investigates the use of the lines for detecting vanishing points and tries to identify the features highlighted in the image. The most significant part of the work concentrates on the development of a method of identifying specific features such as a target on the robot and different windows along with a way of matching the features to a computer model of the building thus enabling the position of the robot to be calculated. Results are given showing how the algorithm performed on a model building and robot in the laboratory with various tests using different camera positions, image enhancement and spurious features. The results presented show that the algorithm was capable of finding the position ofa model robot to sufficient accuracy (typically 3% of the size of the robot target) and that the errors measured were predictable. Additional results show how the algorithm performed on a real building and indicate the problems associated with real images with the conclusion that the algorithm will work under a certain range of conditions providing that certain elements of it can be improved