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Sensors 2016, 16(8), 1243; doi:10.3390/s16081243

Improved Feature Matching for Mobile Devices with IMU

CIRGEO (Interdepartmental Research Center of Geomatics), University of Padova, via dell’Università 16, 35020 Legnaro (PD), Italy
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Academic Editor: Felipe Gonzalez Toro
Received: 3 June 2016 / Revised: 13 July 2016 / Accepted: 29 July 2016 / Published: 5 August 2016
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Abstract

Thanks to the recent diffusion of low-cost high-resolution digital cameras and to the development of mostly automated procedures for image-based 3D reconstruction, the popularity of photogrammetry for environment surveys is constantly increasing in the last years. Automatic feature matching is an important step in order to successfully complete the photogrammetric 3D reconstruction: this step is the fundamental basis for the subsequent estimation of the geometry of the scene. This paper reconsiders the feature matching problem when dealing with smart mobile devices (e.g., when using the standard camera embedded in a smartphone as imaging sensor). More specifically, this paper aims at exploiting the information on camera movements provided by the inertial navigation system (INS) in order to make the feature matching step more robust and, possibly, computationally more efficient. First, a revised version of the affine scale-invariant feature transform (ASIFT) is considered: this version reduces the computational complexity of the original ASIFT, while still ensuring an increase of correct feature matches with respect to the SIFT. Furthermore, a new two-step procedure for the estimation of the essential matrix E (and the camera pose) is proposed in order to increase its estimation robustness and computational efficiency. View Full-Text
Keywords: 3D reconstruction; photogrammetry; feature matching; inertial navigation system; smartphones 3D reconstruction; photogrammetry; feature matching; inertial navigation system; smartphones
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Masiero, A.; Vettore, A. Improved Feature Matching for Mobile Devices with IMU. Sensors 2016, 16, 1243.

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