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Journal ArticleDOI

Fast vision-based scene modeling for augmented reality in unprepared man-made environments

TLDR
A general purpose Augmented Reality AR system that allows to add easily 3D computer generated CG objects into real man-made environments without using powerful hardware nor commodity sensors is proposed.
Abstract
In this paper, we propose a general purpose Augmented Reality AR system that allows to add easily 3D computer generated CG objects into real man-made environments. Our system goes to a very intuitive and easy in situ 3D structure recovery of planar piecewise scenes without using powerful hardware nor commodity sensors. The user simply has to move the camera translation of the focus is mandatory and take two different pictures of the scene and our approach obtains a rough planar piecewise representation of the environment suitable to conduct multi-planar tracking for visual model-based augmented reality and to augment it with virtual objects coherently. Polyhedral representations of scenes are very convenient for manmade environments indoor e.g., offices, rooms, classrooms and outdoor e.g., looking at facades, floor, hence we focus the potential applications of our system to augment simple rooms or urban scenes with virtual imagery.

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Citations
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Journal ArticleDOI

Multi-Camera Piecewise Planar Object Tracking with Mutual Information

TL;DR: A template-based tracking algorithm for piecewise planar objects that is robust against changes in the appearance of the object, and an inverse composition approach for reducing the computational costs and a near-real-time algorithm is presented.
References
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Journal ArticleDOI

Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography

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Book

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TL;DR: In this article, the authors provide comprehensive background material and explain how to apply the methods and implement the algorithms directly in a unified framework, including geometric principles and how to represent objects algebraically so they can be computed and applied.
Proceedings ArticleDOI

A Combined Corner and Edge Detector

TL;DR: The problem the authors are addressing in Alvey Project MMI149 is that of using computer vision to understand the unconstrained 3D world, in which the viewed scenes will in general contain too wide a diversity of objects for topdown recognition techniques to work.
Book ChapterDOI

SURF: speeded up robust features

TL;DR: A novel scale- and rotation-invariant interest point detector and descriptor, coined SURF (Speeded Up Robust Features), which approximates or even outperforms previously proposed schemes with respect to repeatability, distinctiveness, and robustness, yet can be computed and compared much faster.
Proceedings Article

An iterative image registration technique with an application to stereo vision

TL;DR: In this paper, the spatial intensity gradient of the images is used to find a good match using a type of Newton-Raphson iteration, which can be generalized to handle rotation, scaling and shearing.
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