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Towards Sensor-Aided Multi-View Reconstruction for High Accuracy Applications

Authors:
Mikhail M. Shashkov
Mauricio Hess-Flores
Shawn Recker
Kenneth I. Joy

Keywords: sensor fusion, embedded sensors, multi-view reconstruction, structure-from-motion, Kinect

Abstract:
We present the general idea of a computer vision structure-from-motion framework that makes use of sensor fusion to provide very accurate and efficient multi-view reconstruction results that can capture internal geometry. Given the increased ubiquity and cost-effectiveness of embedding sensors, such as positional sensors, into objects, it has become feasible to fuse such sensor data and camera-acquired data to vastly improve reconstruction quality and enable a number of novel applications for structure-from-motion. Application areas, which require very high accuracy, include medicine, robotics, security, and additive manufacturing (3D printing). Specific examples and initial results are discussed, followed by a discussion on proposed future work.

Pages: 65 to 69

Copyright: Copyright (c) IARIA, 2014

Publication date: May 25, 2014

Published in: conference

ISSN: 2308-4162

ISBN: 978-1-61208-342-1

Location: Venice, Italy

Dates: from May 25, 2014 to May 29, 2014