Size-Dictionary Interpolation for Robot's Adjustment
This paper describes the classification and size-dictionary interpolation of the three-dimensional data obtained by a laser scanner to be used in a realistic virtual fitting room, where automatic activation of the chosen mannequin robot, while several mannequin robots of different genders and sizes...
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Published in: | Frontiers in bioengineering and biotechnology Vol. 3; p. 63 |
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Main Authors: | , , |
Format: | Journal Article |
Language: | English |
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Switzerland
Frontiers Media S.A
01-01-2015
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Abstract | This paper describes the classification and size-dictionary interpolation of the three-dimensional data obtained by a laser scanner to be used in a realistic virtual fitting room, where automatic activation of the chosen mannequin robot, while several mannequin robots of different genders and sizes are simultaneously connected to the same computer, is also considered to make it mimic the body shapes and sizes instantly. The classification process consists of two layers, dealing, respectively, with gender and size. The interpolation procedure tries to find out which set of the positions of the biologically inspired actuators for activation of the mannequin robots could lead to the closest possible resemblance of the shape of the body of the person having been scanned, through linearly mapping the distances between the subsequent size-templates and the corresponding position set of the bioengineered actuators, and subsequently, calculating the control measures that could maintain the same distance proportions, where minimizing the Euclidean distance between the size-dictionary template vectors and that of the desired body sizes determines the mathematical description. In this research work, the experimental results of the implementation of the proposed method on Fits.me's mannequin robots are visually illustrated, and explanation of the remaining steps toward completion of the whole realistic online fitting package is provided. |
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AbstractList | This paper describes the classification and size-dictionary interpolation of the three-dimensional data obtained by a laser scanner to be used in a realistic virtual fitting room, where automatic activation of the chosen mannequin robot, while several mannequin robots of different genders and sizes are simultaneously connected to the same computer, is also considered to make it mimic the body shapes and sizes instantly. The classification process consists of two layers, dealing, respectively, with gender and size. The interpolation procedure tries to find out which set of the positions of the biologically inspired actuators for activation of the mannequin robots could lead to the closest possible resemblance of the shape of the body of the person having been scanned, through linearly mapping the distances between the subsequent size-templates and the corresponding position set of the bioengineered actuators, and subsequently, calculating the control measures that could maintain the same distance proportions, where minimizing the Euclidean distance between the size-dictionary template vectors and that of the desired body sizes determines the mathematical description. In this research work, the experimental results of the implementation of the proposed method on Fits.me's mannequin robots are visually illustrated, and explanation of the remaining steps toward completion of the whole realistic online fitting package is provided. This paper describes the classification and size-dictionary interpolation of the three-dimensional data obtained by a laser scanner to be used in a realistic virtual fitting room, where automatic activation of the chosen mannequin robot, while several mannequin robots of different genders and sizes are simultaneously connected to the same computer, is also considered to make it mimic the body shapes and sizes instantly. The classification process consists of two layers, dealing, respectively, with gender and size. The interpolation procedure tries to find out which set of the positions of the biologically-inspired actuators for activation of the mannequin robots could lead to the closest possible resemblance of the shape of the body of the person having been scanned, through linearly mapping the distances between the subsequent size-templates and the corresponding position set of the bioengineered actuators, and subsequently, calculating the control measures that could maintain the same distance proportions, where minimizing the Euclidean distance between the size-dictionary template vectors and that of the desired body sizes determines the mathematical description. In this research work, the experimental results of the implementation of the proposed method on Fits.me's mannequin robots are visually illustrated, and explanation of the remaining steps towards completion of the whole realistic online fitting package is provided. |
Author | Anbarjafari, Gholamreza Aabloo, Alvo Daneshmand, Morteza |
AuthorAffiliation | 2 Intelligent Computer Vision (iCV) Group, Institute of Technology, University of Tartu , Tartu , Estonia 1 Intelligent Materials and Systems (IMS) Laboratory, Institute of Technology, University of Tartu , Tartu , Estonia |
AuthorAffiliation_xml | – name: 1 Intelligent Materials and Systems (IMS) Laboratory, Institute of Technology, University of Tartu , Tartu , Estonia – name: 2 Intelligent Computer Vision (iCV) Group, Institute of Technology, University of Tartu , Tartu , Estonia |
Author_xml | – sequence: 1 givenname: Morteza surname: Daneshmand fullname: Daneshmand, Morteza organization: Intelligent Materials and Systems (IMS) Laboratory, Institute of Technology, University of Tartu , Tartu , Estonia ; Intelligent Computer Vision (iCV) Group, Institute of Technology, University of Tartu , Tartu , Estonia – sequence: 2 givenname: Alvo surname: Aabloo fullname: Aabloo, Alvo organization: Intelligent Materials and Systems (IMS) Laboratory, Institute of Technology, University of Tartu , Tartu , Estonia – sequence: 3 givenname: Gholamreza surname: Anbarjafari fullname: Anbarjafari, Gholamreza organization: Intelligent Materials and Systems (IMS) Laboratory, Institute of Technology, University of Tartu , Tartu , Estonia ; Intelligent Computer Vision (iCV) Group, Institute of Technology, University of Tartu , Tartu , Estonia |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/26042216$$D View this record in MEDLINE/PubMed |
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Copyright | Copyright © 2015 Daneshmand, Aabloo and Anbarjafari. 2015 |
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Keywords | size-dictionary interpolation biologically inspired actuators body-shape-changing mannequin robots classification according to gender and size 3D human body scanning biomimetics |
Language | English |
License | This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
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Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Edited by: Danilo Emilio De Rossi, University of Pisa, Italy Reviewed by: Michael Pieroni, Research Center “E. Piaggio”, Italy; Cagri Ozcinar, University of Surrey, UK Specialty section: This article was submitted to Bionics and Biomimetics, a section of the journal Frontiers in Bioengineering and Biotechnology |
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References | 22402692 - IEEE Trans Vis Comput Graph. 2012 Apr;18(4):643-50 |
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SubjectTerms | 3D Human Body Scanning Bioengineering and Biotechnology Biologically-Inspired Actuators Biomimetics Body-Shape-Changing Mannequin Robots Classification according to Gender and Size Size-Dictionary Interpolation |
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Title | Size-Dictionary Interpolation for Robot's Adjustment |
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