A probabilistic fusion framework for 3-D reconstruction using heterogeneous sensors

Aliakbarpour, H., Ferreira, J.F. ORCID: 0000-0002-2510-2412, Prasath, V.B.S., Palaniappan, K., Seetharaman, G. and Dias, J., 2017. A probabilistic fusion framework for 3-D reconstruction using heterogeneous sensors. IEEE Sensors Journal, 17 (9), pp. 2640-2641. ISSN 1530-437X

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Abstract

This letter proposes a framework to perform 3-D reconstruction using a heterogeneous sensor network, with potential use in augmented reality, human behavior understanding, smart-room implementations, robotics, and many other applications. We fuse orientation measurements from inertial sensors, images from cameras and depth data from Time of Flight sensors within a probabilistic framework in a synergistic manner to obtain robust reconstructions. A fully probabilistic method is proposed to efficiently fuse the multi-modal data of the system.

Item Type:	Journal article
Publication Title:	IEEE Sensors Journal
Creators:	Aliakbarpour, H., Ferreira, J.F., Prasath, V.B.S., Palaniappan, K., Seetharaman, G. and Dias, J.
Publisher:	Institute of Electrical and Electronics Engineers
Date:	1 May 2017
Volume:	17
Number:	9
ISSN:	1530-437X
Identifiers:	Number Type 10.1109/JSEN.2017.2679187 DOI
Rights:	© 2017 IEEE
Divisions:	Schools > School of Science and Technology
Record created by:	Jonathan Gallacher
Date Added:	28 Mar 2018 08:09
Last Modified:	28 Mar 2018 08:11
URI:	https://irep.ntu.ac.uk/id/eprint/33128

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