A Modified Exoskeleton and Its Application to Object Representation and Recognition
Summary :
The skeleton and the skeleton function of an object are important representations for shape analysis and recognition. They contain enough information to recognize an object and to reconstruct its original shape. However, they are sensitive to distortion caused by rotation and noise. This paper presents another approach for binary object representation called a modified exoskeleton(mES) that combines the previously defined exoskeleton with the use of symmetric object whose dominant property is rotation invariant. The mES is the skeleton of a circular background around the object that preserves the skeleton properties including significant information about the object for use in object recognition. Then the matching algorithm for object recognition based on the mES is presented. We applied the matching algorithm to evaluate the mES against the skeleton obtained from using 4-neighbor distance transformation on a set of artificial objects, and the experimental results reveal that the mES is more robust to distortion caused by rotation and noise than the skeleton and that the matching algorithm is capable of recognizing objects effectively regardless of their size and orientation.
- Publication
- IEICE TRANSACTIONS on Information Vol.E85-D No.5 pp.884-896
- Publication Date
- 2002/05/01
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- PAPER
- Category
- Image Processing, Image Pattern Recognition
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Rajalida LIPIKORN, Akinobu SHIMIZU, Yoshihiro HAGIHARA, Hidefumi KOBATAKE, "A Modified Exoskeleton and Its Application to Object Representation and Recognition" in IEICE TRANSACTIONS on Information,
vol. E85-D, no. 5, pp. 884-896, May 2002, doi: .
Abstract: The skeleton and the skeleton function of an object are important representations for shape analysis and recognition. They contain enough information to recognize an object and to reconstruct its original shape. However, they are sensitive to distortion caused by rotation and noise. This paper presents another approach for binary object representation called a modified exoskeleton(mES) that combines the previously defined exoskeleton with the use of symmetric object whose dominant property is rotation invariant. The mES is the skeleton of a circular background around the object that preserves the skeleton properties including significant information about the object for use in object recognition. Then the matching algorithm for object recognition based on the mES is presented. We applied the matching algorithm to evaluate the mES against the skeleton obtained from using 4-neighbor distance transformation on a set of artificial objects, and the experimental results reveal that the mES is more robust to distortion caused by rotation and noise than the skeleton and that the matching algorithm is capable of recognizing objects effectively regardless of their size and orientation.
URL: https://global.ieice.org/en_transactions/information/10.1587/e85-d_5_884/_p
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@ARTICLE{e85-d_5_884,
author={Rajalida LIPIKORN, Akinobu SHIMIZU, Yoshihiro HAGIHARA, Hidefumi KOBATAKE, },
journal={IEICE TRANSACTIONS on Information},
title={A Modified Exoskeleton and Its Application to Object Representation and Recognition},
year={2002},
volume={E85-D},
number={5},
pages={884-896},
abstract={The skeleton and the skeleton function of an object are important representations for shape analysis and recognition. They contain enough information to recognize an object and to reconstruct its original shape. However, they are sensitive to distortion caused by rotation and noise. This paper presents another approach for binary object representation called a modified exoskeleton(mES) that combines the previously defined exoskeleton with the use of symmetric object whose dominant property is rotation invariant. The mES is the skeleton of a circular background around the object that preserves the skeleton properties including significant information about the object for use in object recognition. Then the matching algorithm for object recognition based on the mES is presented. We applied the matching algorithm to evaluate the mES against the skeleton obtained from using 4-neighbor distance transformation on a set of artificial objects, and the experimental results reveal that the mES is more robust to distortion caused by rotation and noise than the skeleton and that the matching algorithm is capable of recognizing objects effectively regardless of their size and orientation.},
keywords={},
doi={},
ISSN={},
month={May},}
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TY - JOUR
TI - A Modified Exoskeleton and Its Application to Object Representation and Recognition
T2 - IEICE TRANSACTIONS on Information
SP - 884
EP - 896
AU - Rajalida LIPIKORN
AU - Akinobu SHIMIZU
AU - Yoshihiro HAGIHARA
AU - Hidefumi KOBATAKE
PY - 2002
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E85-D
IS - 5
JA - IEICE TRANSACTIONS on Information
Y1 - May 2002
AB - The skeleton and the skeleton function of an object are important representations for shape analysis and recognition. They contain enough information to recognize an object and to reconstruct its original shape. However, they are sensitive to distortion caused by rotation and noise. This paper presents another approach for binary object representation called a modified exoskeleton(mES) that combines the previously defined exoskeleton with the use of symmetric object whose dominant property is rotation invariant. The mES is the skeleton of a circular background around the object that preserves the skeleton properties including significant information about the object for use in object recognition. Then the matching algorithm for object recognition based on the mES is presented. We applied the matching algorithm to evaluate the mES against the skeleton obtained from using 4-neighbor distance transformation on a set of artificial objects, and the experimental results reveal that the mES is more robust to distortion caused by rotation and noise than the skeleton and that the matching algorithm is capable of recognizing objects effectively regardless of their size and orientation.
ER -
English
