Overview
- Presents efficient approaches and open issues in the field of 3D mapping and navigation
- Presents an end-to-end solution for creating accurate 3D textured models using monocular video sequences
- Develops an online approach for measuring similarities between images
Part of the book series: Springer Tracts in Advanced Robotics (STAR, volume 87)
Buy print copy
About this book
This book proposes a complete pipeline for monocular (single camera) based 3D mapping of terrestrial and underwater environments. The aim is to provide a solution to large-scale scene modeling that is both accurate and efficient. To this end, we have developed a novel Structure from Motion algorithm that increases mapping accuracy by registering camera views directly with the maps. The camera registration uses a dual approach that adapts to the type of environment being mapped.
In order to further increase the accuracy of the resulting maps, a new method is presented, allowing detection of images corresponding to the same scene region (crossovers). Crossovers then used in conjunction with global alignment methods in order to highly reduce estimation errors, especially when mapping large areas. Our method is based on Visual Bag of Words paradigm (BoW), offering a more efficient and simpler solution by eliminating the training stage, generally required by state of the art BoW algorithms.
Also, towards developing methods for efficient mapping of large areas (especially with costs related to map storage, transmission and rendering in mind), an online 3D model simplification algorithm is proposed. This new algorithm presents the advantage of selecting only those vertices that are geometrically representative for the scene.
Similar content being viewed by others
Keywords
Table of contents (6 chapters)
Authors and Affiliations
Bibliographic Information
Book Title: Efficient 3D Scene Modeling and Mosaicing
Authors: Tudor Nicosevici, Rafael Garcia
Series Title: Springer Tracts in Advanced Robotics
DOI: https://doi.org/10.1007/978-3-642-36418-1
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2013
Hardcover ISBN: 978-3-642-36417-4Published: 22 March 2013
Softcover ISBN: 978-3-642-43755-7Published: 07 March 2015
eBook ISBN: 978-3-642-36418-1Published: 19 February 2013
Series ISSN: 1610-7438
Series E-ISSN: 1610-742X
Edition Number: 1
Number of Pages: XXII, 161
Number of Illustrations: 21 b/w illustrations, 76 illustrations in colour
Topics: Robotics and Automation, Artificial Intelligence, Image Processing and Computer Vision