SKen: A Statistical Test for Removing Outliers in Optical Flow - A 3D Reconstruction Case

Samuel Macedo, Luis Vasconcelos, Vinicius Cesar, Saulo Pessoa, Judith Kelner

Abstract

The 3D reconstruction can be employed in several areas such as markerless augmented reality, manipulation of interactive virtual objects and to deal with the occlusion of virtual objects by real ones. However, many improvements into the 3D reconstruction pipeline in order to increase its efficiency may still be done. In such context, this paper proposes a filter for optimizing a 3D reconstruction pipeline. It is presented the SKen technique, a statistical hypothesis test that classifies the features by checking the smoothness of its trajectory. Although it was not mathematically proven that inliers features performed smooth camera paths, this work shows some evidence of a relationship between smoothness and inliers. By removing features that did not present smooth paths, the quality of the 3D reconstruction was enhanced.

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Paper Citation


in Harvard Style

Macedo S., Vasconcelos L., Cesar V., Pessoa S. and Kelner J. (2014). SKen: A Statistical Test for Removing Outliers in Optical Flow - A 3D Reconstruction Case . In Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2014) ISBN 978-989-758-003-1, pages 202-209. DOI: 10.5220/0004748802020209


in Bibtex Style

@conference{visapp14,
author={Samuel Macedo and Luis Vasconcelos and Vinicius Cesar and Saulo Pessoa and Judith Kelner},
title={SKen: A Statistical Test for Removing Outliers in Optical Flow - A 3D Reconstruction Case},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2014)},
year={2014},
pages={202-209},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004748802020209},
isbn={978-989-758-003-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2014)
TI - SKen: A Statistical Test for Removing Outliers in Optical Flow - A 3D Reconstruction Case
SN - 978-989-758-003-1
AU - Macedo S.
AU - Vasconcelos L.
AU - Cesar V.
AU - Pessoa S.
AU - Kelner J.
PY - 2014
SP - 202
EP - 209
DO - 10.5220/0004748802020209