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Authors: Severino Gomes-Neto and Bruno M. Carvalho

Affiliation: UFRN, Brazil

Keyword(s): Preemptive RANSAC, Generalized Preemptive RANSAC, Preemption Function, BRUMA, Computer Vision.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Motion, Tracking and Stereo Vision ; Pattern Recognition ; Robotics ; Software Engineering ; Stereo Vision and Structure from Motion

Abstract: This paper examines a generalized version of Preemptive RANSAC for visual motion estimation. The approach described employs the BRUMA function for dealing with varying block sizes and the percentages of hypotheses to be removed during the hypotheses rejection phase. The generation of a flexible number of hypotheses is also performed in order to balance the preemption scheme. Experiments were performed for both forward and side-wise motions in synthetic environment by using simulation and the ground-truth used to compare the Standard Preemptive RANSAC and its generalized version. Simulations confirmed that the quality of the results produced by the Standard Preemptive RANSAC degrade as the hardware resources used are decreased, as opposed to the results produced by the Generalized Preemptive RANSAC, with the results of the Standard Preemptive RANSAC having errors up to eleven times larger than the Generalized Preemptive RANSAC.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Gomes-Neto, S. and M. Carvalho, B. (2014). Generalized Preemptive RANSAC - Making Preemptive RANSAC Feasible even in Low Resources Devices. In Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 3: VISAPP; ISBN 978-989-758-009-3; ISSN 2184-4321, SciTePress, pages 406-415. DOI: 10.5220/0004737004060415

@conference{visapp14,
author={Severino Gomes{-}Neto. and Bruno {M. Carvalho}.},
title={Generalized Preemptive RANSAC - Making Preemptive RANSAC Feasible even in Low Resources Devices},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 3: VISAPP},
year={2014},
pages={406-415},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004737004060415},
isbn={978-989-758-009-3},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 3: VISAPP
TI - Generalized Preemptive RANSAC - Making Preemptive RANSAC Feasible even in Low Resources Devices
SN - 978-989-758-009-3
IS - 2184-4321
AU - Gomes-Neto, S.
AU - M. Carvalho, B.
PY - 2014
SP - 406
EP - 415
DO - 10.5220/0004737004060415
PB - SciTePress