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Authors: Tanwi Mallick ; Rishabh Agrawal ; Partha Pratim Das and Arun Kumar Majumdar

Affiliation: Indian Institute of Technology, India

ISBN: 978-989-758-091-8

Keyword(s): Kinect, Depth Image, Mirror, Point-cloud, Camera-Mirror Geometry, Iterative Closest Point.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Geometry and Modeling ; Image and Video Analysis ; Image-Based Modeling ; Pattern Recognition ; Robotics ; Segmentation and Grouping ; Software Engineering

Abstract: In this paper we present a method for omni-directional 3D reconstruction of a human figure using a single Kinect while two mirrors provide the 360o view. We get three views from a single depth (and its corresponding RGB) frame – one is the real view of the human and other two are the virtual views generated through the mirrors. Using these three views our proposed system reconstruct 360o view of a human. The reconstruction system is robust as it can reconstruct the 360o view of any object (though it is particularly designed for human figures) from single depth and RGB images. These system overcomes the difficulties of synchronization and removes the problem of interference noise of multi-Kinect system. The methodology can be used for a nonKinect RGB-D camera and can be improved in several ways in future.

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Paper citation in several formats:
Mallick, T.; Agrawal, R.; Das, P. and Majumdar, A. (2015). Omni-directional Reconstruction of Human Figures from Depth Data using Mirrors.In Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2015) ISBN 978-989-758-091-8, pages 559-566. DOI: 10.5220/0005306905590566

@conference{visapp15,
author={Tanwi Mallick. and Rishabh Agrawal. and Partha Pratim Das. and Arun Kumar Majumdar.},
title={Omni-directional Reconstruction of Human Figures from Depth Data using Mirrors},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2015)},
year={2015},
pages={559-566},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005306905590566},
isbn={978-989-758-091-8},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2015)
TI - Omni-directional Reconstruction of Human Figures from Depth Data using Mirrors
SN - 978-989-758-091-8
AU - Mallick, T.
AU - Agrawal, R.
AU - Das, P.
AU - Majumdar, A.
PY - 2015
SP - 559
EP - 566
DO - 10.5220/0005306905590566

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