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        <datestamp>2025-01-20T06:51:39Z</datestamp>
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          <dc:title>A Method to Synthesize Three Dimensional Face Models by Mapping from a Word Space to a Physical Model Space and the Inspection of the Mapping Function</dc:title>
          <dc:title xml:lang="en">A Method to Synthesize Three Dimensional Face Models by Mapping from a Word Space to a Physical Model Space and the Inspection of the Mapping Function</dc:title>
          <jpcoar:creator>
            <jpcoar:creatorName>Futoshi, Sugimoto</jpcoar:creatorName>
          </jpcoar:creator>
          <jpcoar:creator>
            <jpcoar:creatorName>Makoto, Murakami</jpcoar:creatorName>
          </jpcoar:creator>
          <jpcoar:creator>
            <jpcoar:creatorName>Chieko, Kato</jpcoar:creatorName>
          </jpcoar:creator>
          <jpcoar:creator>
            <jpcoar:creatorName xml:lang="en">Futoshi, Sugimoto</jpcoar:creatorName>
          </jpcoar:creator>
          <jpcoar:creator>
            <jpcoar:creatorName xml:lang="en">Makoto, Murakami</jpcoar:creatorName>
          </jpcoar:creator>
          <jpcoar:creator>
            <jpcoar:creatorName xml:lang="en">Chieko, Kato</jpcoar:creatorName>
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          <jpcoar:subject subjectScheme="Other">[Special Issue on Theory and Application of Intelligent Information Technology] synthesis of face, feature word, word space, mapping, GMDH</jpcoar:subject>
          <datacite:description descriptionType="Other">In this study, the process to synthesize a human face based on the information of words is defined as a mapping from a word space, which is composed of the words expressing dimensions and shape of facial elements, into a physical model space where physical shape of the facial elements are formed. By introducing a concept of mapping, the use of whole words existing in the word space makes it possible to synthesize a human face based on free and uninhibited description. Furthermore, we have only to make 3-dimensinal physical models corresponding to the words that are selected as training data to identify a mapping function. The others are made through the mapping. Finally, we inspect the validity of the mapping function that is obtained in this study.

------------------------------ 
This is a preprint of an article intended for publication Journal of 
Information Processing(JIP). This preprint should not be cited. This 
article should be cited as: Journal of Information Processing Vol.20(2012) No.3 (online) 
DOI　http://dx.doi.org/10.2197/ipsjjip.20.531
------------------------------</datacite:description>
          <datacite:description descriptionType="Other">In this study, the process to synthesize a human face based on the information of words is defined as a mapping from a word space, which is composed of the words expressing dimensions and shape of facial elements, into a physical model space where physical shape of the facial elements are formed. By introducing a concept of mapping, the use of whole words existing in the word space makes it possible to synthesize a human face based on free and uninhibited description. Furthermore, we have only to make 3-dimensinal physical models corresponding to the words that are selected as training data to identify a mapping function. The others are made through the mapping. Finally, we inspect the validity of the mapping function that is obtained in this study.

------------------------------ 
This is a preprint of an article intended for publication Journal of 
Information Processing(JIP). This preprint should not be cited. This 
article should be cited as: Journal of Information Processing Vol.20(2012) No.3 (online) 
DOI　http://dx.doi.org/10.2197/ipsjjip.20.531
------------------------------</datacite:description>
          <datacite:date dateType="Issued">2012-05-15</datacite:date>
          <dc:language>eng</dc:language>
          <dc:type rdf:resource="http://purl.org/coar/resource_type/c_6501">journal article</dc:type>
          <jpcoar:identifier identifierType="URI">https://ipsj.ixsq.nii.ac.jp/records/82235</jpcoar:identifier>
          <jpcoar:sourceIdentifier identifierType="ISSN">1882-7764</jpcoar:sourceIdentifier>
          <jpcoar:sourceIdentifier identifierType="NCID">AN00116647</jpcoar:sourceIdentifier>
          <jpcoar:sourceTitle>情報処理学会論文誌</jpcoar:sourceTitle>
          <jpcoar:volume>53</jpcoar:volume>
          <jpcoar:issue>5</jpcoar:issue>
          <jpcoar:file>
            <jpcoar:URI label="IPSJ-JNL5305003">https://ipsj.ixsq.nii.ac.jp/record/82235/files/IPSJ-JNL5305003.pdf</jpcoar:URI>
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            <jpcoar:extent>1.6 MB</jpcoar:extent>
            <datacite:date dateType="Available">2014-05-15</datacite:date>
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