Clothing Extremity Identification Using Convolutional Neural Network Regressor

Understanding and manipulating a textile objects with a high-dimensional configuration space in relation to its context poses a considerable challenge in the area of Robotics. One of the first step for manipulating textiles is to identify key grasping points on extremities such as collars and hem in...

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Main Authors:	Ngo, Genevieve C, Gaurav, Vishal, Shibata, Tomohiro
Format:	text
Published:	Archīum Ateneo 2018
Subjects:	Clothing Extremities Feature extraction Robots Convolutional neural networks Task analysis Textiles Electrical and Computer Engineering Fiber, Textile, and Weaving Arts
Online Access:	https://archium.ateneo.edu/ecce-faculty-pubs/10 https://ieeexplore.ieee.org/abstract/document/8641046
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Institution:	Ateneo De Manila University

id	ph-ateneo-arc.ecce-faculty-pubs-1009
record_format	eprints
spelling	ph-ateneo-arc.ecce-faculty-pubs-10092022-02-24T16:20:50Z Clothing Extremity Identification Using Convolutional Neural Network Regressor Ngo, Genevieve C Gaurav, Vishal Shibata, Tomohiro Understanding and manipulating a textile objects with a high-dimensional configuration space in relation to its context poses a considerable challenge in the area of Robotics. One of the first step for manipulating textiles is to identify key grasping points on extremities such as collars and hem in order to have a context-aware robotic grasping system. In this study, we proposed a method for identifying clothing extremity using a Convolutional Neural Network as a bounding box regression approach. Results indicate that the said method was able to identify and discriminate features of the collar while providing a high accuracy on identifying collar keypoints through a bounding box approach. 2018-01-01T08:00:00Z text https://archium.ateneo.edu/ecce-faculty-pubs/10 https://ieeexplore.ieee.org/abstract/document/8641046 Electronics, Computer, and Communications Engineering Faculty Publications Archīum Ateneo Clothing Extremities Feature extraction Robots Convolutional neural networks Task analysis Textiles Electrical and Computer Engineering Fiber, Textile, and Weaving Arts
institution	Ateneo De Manila University
building	Ateneo De Manila University Library
continent	Asia
country	Philippines Philippines
content_provider	Ateneo De Manila University Library
collection	archium.Ateneo Institutional Repository
topic	Clothing Extremities Feature extraction Robots Convolutional neural networks Task analysis Textiles Electrical and Computer Engineering Fiber, Textile, and Weaving Arts
spellingShingle	Clothing Extremities Feature extraction Robots Convolutional neural networks Task analysis Textiles Electrical and Computer Engineering Fiber, Textile, and Weaving Arts Ngo, Genevieve C Gaurav, Vishal Shibata, Tomohiro Clothing Extremity Identification Using Convolutional Neural Network Regressor
description	Understanding and manipulating a textile objects with a high-dimensional configuration space in relation to its context poses a considerable challenge in the area of Robotics. One of the first step for manipulating textiles is to identify key grasping points on extremities such as collars and hem in order to have a context-aware robotic grasping system. In this study, we proposed a method for identifying clothing extremity using a Convolutional Neural Network as a bounding box regression approach. Results indicate that the said method was able to identify and discriminate features of the collar while providing a high accuracy on identifying collar keypoints through a bounding box approach.
format	text
author	Ngo, Genevieve C Gaurav, Vishal Shibata, Tomohiro
author_facet	Ngo, Genevieve C Gaurav, Vishal Shibata, Tomohiro
author_sort	Ngo, Genevieve C
title	Clothing Extremity Identification Using Convolutional Neural Network Regressor
title_short	Clothing Extremity Identification Using Convolutional Neural Network Regressor
title_full	Clothing Extremity Identification Using Convolutional Neural Network Regressor
title_fullStr	Clothing Extremity Identification Using Convolutional Neural Network Regressor
title_full_unstemmed	Clothing Extremity Identification Using Convolutional Neural Network Regressor
title_sort	clothing extremity identification using convolutional neural network regressor
publisher	Archīum Ateneo
publishDate	2018
url	https://archium.ateneo.edu/ecce-faculty-pubs/10 https://ieeexplore.ieee.org/abstract/document/8641046
_version_	1726158626146484224

Clothing Extremity Identification Using Convolutional Neural Network Regressor

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