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Authors: Bahar Pourazar and Oscar Meruvia-Pastor

Affiliation: Memorial University of Newfoundland, Canada

Keyword(s): Augmented Reality, Human Visual System, Binocular Stereo, Stereoacuity, Disparity, Stereo Correspondence.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Computer Vision, Visualization and Computer Graphics ; Enterprise Information Systems ; Human and Computer Interaction ; Human-Computer Interaction ; Mobile Imaging ; Motion, Tracking and Stereo Vision ; Stereo Vision and Structure from Motion

Abstract: This paper suggests a comprehensive approach for the evaluation of stereo correspondence techniques based on the specific requirements of outdoor augmented reality systems. To this end, we present an evaluation model that integrates existing metrics of stereo correspondence algorithms with additional metrics that consider human factors that are relevant in the context of outdoor augmented reality systems. Our model provides modified metrics of stereoacuity, average outliers, disparity error, and processing time. These metrics have been modified to provide more relevant information with respect to the target application. We evaluate our model using two stereo correspondence methods: the OpenCV implementation of the semi-global block matching, also known as SGBM, which is a modified version of the semi-global matching by Hirschmuller; and our implementation of the solution by Mei et al., known as ADCensus. To test these methods, we use a sample of fifty-two image pairs selected from th e Kitti stereo dataset, which depicts many situations typical of outdoor scenery. Experimental results show that our proposed model can provide a more detailed evaluation of both algorithms. Further, we discuss areas of improvement and suggest directions for future research. (More)

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Paper citation in several formats:
Pourazar, B. and Meruvia-Pastor, O. (2015). A Comprehensive Approach for Evaluation of Stereo Correspondence Solutions in Augmented Reality. In Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 1: VISAPP; ISBN 978-989-758-091-8; ISSN 2184-4321, SciTePress, pages 5-13. DOI: 10.5220/0005272500050013

@conference{visapp15,
author={Bahar Pourazar. and Oscar Meruvia{-}Pastor.},
title={A Comprehensive Approach for Evaluation of Stereo Correspondence Solutions in Augmented Reality},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 1: VISAPP},
year={2015},
pages={5-13},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005272500050013},
isbn={978-989-758-091-8},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 1: VISAPP
TI - A Comprehensive Approach for Evaluation of Stereo Correspondence Solutions in Augmented Reality
SN - 978-989-758-091-8
IS - 2184-4321
AU - Pourazar, B.
AU - Meruvia-Pastor, O.
PY - 2015
SP - 5
EP - 13
DO - 10.5220/0005272500050013
PB - SciTePress