A Flexible Object Model for Recognising and Synthesising Facial Expressions
We here introduce the Flexible Object Model to represent objects with structured deformation, such as the human face under variable expression. The model represents object shape and texture separately and extracts a data parameterisation autonomously from image sequences after initialisation by a si...
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| creator | Tewes, Andreas Würtz, Rolf P. von der Malsburg, Christoph |
| description | We here introduce the Flexible Object Model to represent objects with structured deformation, such as the human face under variable expression. The model represents object shape and texture separately and extracts a data parameterisation autonomously from image sequences after initialisation by a single hand-labeled model graph. We apply the model to the representation, recognition and reconstruction of nine different facial expressions. After training, the model is capable of automatically finding facial landmarks, extracting deformation parameters and reconstructing faces in any of the learned expressions. |
| doi_str_mv | 10.1007/11527923_9 |
| format | Conference Proceeding |
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The model represents object shape and texture separately and extracts a data parameterisation autonomously from image sequences after initialisation by a single hand-labeled model graph. We apply the model to the representation, recognition and reconstruction of nine different facial expressions. After training, the model is capable of automatically finding facial landmarks, extracting deformation parameters and reconstructing faces in any of the learned expressions.</description><identifier>ISSN: 0302-9743</identifier><identifier>ISBN: 9783540278870</identifier><identifier>ISBN: 3540278877</identifier><identifier>EISSN: 1611-3349</identifier><identifier>EISBN: 9783540316381</identifier><identifier>EISBN: 3540316388</identifier><identifier>DOI: 10.1007/11527923_9</identifier><language>eng</language><publisher>Berlin, Heidelberg: Springer Berlin Heidelberg</publisher><subject>Active Appearance Model ; Applied sciences ; Artificial intelligence ; Computer science; control theory; systems ; Exact sciences and technology ; Facial Expression ; Gabor Wavelet ; Neutral Expression ; Pattern recognition. Digital image processing. 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The model represents object shape and texture separately and extracts a data parameterisation autonomously from image sequences after initialisation by a single hand-labeled model graph. We apply the model to the representation, recognition and reconstruction of nine different facial expressions. After training, the model is capable of automatically finding facial landmarks, extracting deformation parameters and reconstructing faces in any of the learned expressions.</description><subject>Active Appearance Model</subject><subject>Applied sciences</subject><subject>Artificial intelligence</subject><subject>Computer science; control theory; systems</subject><subject>Exact sciences and technology</subject><subject>Facial Expression</subject><subject>Gabor Wavelet</subject><subject>Neutral Expression</subject><subject>Pattern recognition. Digital image processing. Computational geometry</subject><subject>Shape Deformation</subject><issn>0302-9743</issn><issn>1611-3349</issn><isbn>9783540278870</isbn><isbn>3540278877</isbn><isbn>9783540316381</isbn><isbn>3540316388</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2005</creationdate><recordtype>conference_proceeding</recordtype><recordid>eNpFkE1LAzEYhOMXWGov_oJcBC-refPubpJjKVbFSsGPc0iySU1ds8umh_bfW6noXAbmGeYwhFwCuwHGxC1AxYXiqNURmSghsSoZQo0SjskIaoACsVQnf4wLKQU7JSOGjBdKlHhOJjmv2V7IoZR8RJ6mdN76bbStp0u79m5Dn7vGtzR0A33xrlulmGNaUZMa-rpLmw-fD8HcuGhaerftB59z7FK-IGfBtNlPfn1M3ud3b7OHYrG8f5xNF0XPQW4KEZQ0koNgwQCrfAmWWWycd7VVtZINN67hjgUQBmwVPAgAgcZxgQ0CxzG5Ouz2JjvThsEkF7Puh_hlhp2GWilW1rDvXR96eY_Syg_adt1n1sD0z5_6_0_8BjApYT0</recordid><startdate>2005</startdate><enddate>2005</enddate><creator>Tewes, Andreas</creator><creator>Würtz, Rolf P.</creator><creator>von der Malsburg, Christoph</creator><general>Springer Berlin Heidelberg</general><general>Springer</general><scope>IQODW</scope></search><sort><creationdate>2005</creationdate><title>A Flexible Object Model for Recognising and Synthesising Facial Expressions</title><author>Tewes, Andreas ; Würtz, Rolf P. ; von der Malsburg, Christoph</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p218t-7f98a82170fa105e41b0b3dcec6b9698d2acd2c0f17a1b5fe171173ac273d3123</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Active Appearance Model</topic><topic>Applied sciences</topic><topic>Artificial intelligence</topic><topic>Computer science; control theory; systems</topic><topic>Exact sciences and technology</topic><topic>Facial Expression</topic><topic>Gabor Wavelet</topic><topic>Neutral Expression</topic><topic>Pattern recognition. Digital image processing. Computational geometry</topic><topic>Shape Deformation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tewes, Andreas</creatorcontrib><creatorcontrib>Würtz, Rolf P.</creatorcontrib><creatorcontrib>von der Malsburg, Christoph</creatorcontrib><collection>Pascal-Francis</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tewes, Andreas</au><au>Würtz, Rolf P.</au><au>von der Malsburg, Christoph</au><au>Kanade, Takeo</au><au>Ratha, Nalini K.</au><au>Jain, Anil</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A Flexible Object Model for Recognising and Synthesising Facial Expressions</atitle><btitle>Audio- and Video-Based Biometric Person Authentication</btitle><date>2005</date><risdate>2005</risdate><spage>81</spage><epage>90</epage><pages>81-90</pages><issn>0302-9743</issn><eissn>1611-3349</eissn><isbn>9783540278870</isbn><isbn>3540278877</isbn><eisbn>9783540316381</eisbn><eisbn>3540316388</eisbn><abstract>We here introduce the Flexible Object Model to represent objects with structured deformation, such as the human face under variable expression. The model represents object shape and texture separately and extracts a data parameterisation autonomously from image sequences after initialisation by a single hand-labeled model graph. We apply the model to the representation, recognition and reconstruction of nine different facial expressions. After training, the model is capable of automatically finding facial landmarks, extracting deformation parameters and reconstructing faces in any of the learned expressions.</abstract><cop>Berlin, Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/11527923_9</doi><tpages>10</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0302-9743 |
| ispartof | Audio- and Video-Based Biometric Person Authentication, 2005, p.81-90 |
| issn | 0302-9743 1611-3349 |
| language | eng |
| recordid | cdi_pascalfrancis_primary_16990461 |
| source | Springer Books |
| subjects | Active Appearance Model Applied sciences Artificial intelligence Computer science control theory systems Exact sciences and technology Facial Expression Gabor Wavelet Neutral Expression Pattern recognition. Digital image processing. Computational geometry Shape Deformation |
| title | A Flexible Object Model for Recognising and Synthesising Facial Expressions |
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