The evaluation of shape distribution for object recognition based on kinect-like depth image
Shape distribution is a common 3D shape descriptor that has been widely used for 3D object retrieval. In this study, we evaluate the feasibility of shape distribution for object recognition based on Kinect-like depth image obtained from RGB-D object dataset; consisting of several household instances...
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my.utm.360482017-02-02T05:04:32Z http://eprints.utm.my/id/eprint/36048/ The evaluation of shape distribution for object recognition based on kinect-like depth image As'ari, M. A. Supriyanto, Eko Sheikh, Usman Ullah Q Science (General) Shape distribution is a common 3D shape descriptor that has been widely used for 3D object retrieval. In this study, we evaluate the feasibility of shape distribution for object recognition based on Kinect-like depth image obtained from RGB-D object dataset; consisting of several household instances from 51 classes; and each instance consists of depth images from different rotational angle view. The proposed evaluation procedures are called (1) inter-class evaluation and (2) intra-class evaluation and were used to evaluate the shape distribution performance. Based on these evaluations, shape distribution performance was found to be slightly decreased in inter-class manner while significantly decreased for intra-class. It is evident that the minimal performance degradation in inter-class evaluation is due to variety of formed shapes when the instance is rotated while shape distribution suffers from not only shape variation among different rotational angle view but also among different instance per class in intra-class evaluation. This preliminary attempt shows that shape distribution is a relevant candidate applicable in object recognition for Kinect-like depth image. IEEE 2012 Book Section PeerReviewed As'ari, M. A. and Supriyanto, Eko and Sheikh, Usman Ullah (2012) The evaluation of shape distribution for object recognition based on kinect-like depth image. In: Proceedings - 2012 4th International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2012. IEEE, New York, USA, pp. 313-318. ISBN 978-076954821-0 http://dx.doi.org/10.1109/CICSyN.2012.65 DOI:10.1109/CICSyN.2012.65 |
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Q Science (General) As'ari, M. A. Supriyanto, Eko Sheikh, Usman Ullah The evaluation of shape distribution for object recognition based on kinect-like depth image |
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Shape distribution is a common 3D shape descriptor that has been widely used for 3D object retrieval. In this study, we evaluate the feasibility of shape distribution for object recognition based on Kinect-like depth image obtained from RGB-D object dataset; consisting of several household instances from 51 classes; and each instance consists of depth images from different rotational angle view. The proposed evaluation procedures are called (1) inter-class evaluation and (2) intra-class evaluation and were used to evaluate the shape distribution performance. Based on these evaluations, shape distribution performance was found to be slightly decreased in inter-class manner while significantly decreased for intra-class. It is evident that the minimal performance degradation in inter-class evaluation is due to variety of formed shapes when the instance is rotated while shape distribution suffers from not only shape variation among different rotational angle view but also among different instance per class in intra-class evaluation. This preliminary attempt shows that shape distribution is a relevant candidate applicable in object recognition for Kinect-like depth image. |
format |
Book Section |
author |
As'ari, M. A. Supriyanto, Eko Sheikh, Usman Ullah |
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As'ari, M. A. Supriyanto, Eko Sheikh, Usman Ullah |
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As'ari, M. A. |
title |
The evaluation of shape distribution for object recognition based on kinect-like depth image |
title_short |
The evaluation of shape distribution for object recognition based on kinect-like depth image |
title_full |
The evaluation of shape distribution for object recognition based on kinect-like depth image |
title_fullStr |
The evaluation of shape distribution for object recognition based on kinect-like depth image |
title_full_unstemmed |
The evaluation of shape distribution for object recognition based on kinect-like depth image |
title_sort |
evaluation of shape distribution for object recognition based on kinect-like depth image |
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IEEE |
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2012 |
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http://eprints.utm.my/id/eprint/36048/ http://dx.doi.org/10.1109/CICSyN.2012.65 |
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1643649888700858368 |
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