Dissertation/Thesis
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Parametric Facial Expression Synthesis and Animation

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Parametric Facial Expression Synthesis and Animation
Συγγραφείς: Narendra M Patel, Mukesh Zaveri
Συνεισφορές: The Pennsylvania State University CiteSeerX Archives
Πηγή: http://www.ijcaonline.org/volume3/number4/pxc3871011.pdf.
Συλλογή: CiteSeerX
Θεματικοί όροι: General Terms Animation, Computer graphics. Keywords Parametric model, facial animation, blending, interpolation, keyframe
Περιγραφή: In this paper, we proposed a parametric model based facial animation synthesis. In the proposed algorithm various facial expressions are generated using the parametric models and the novelty of the algorithm is that new expressions can be generated by blending selected expressions. A complete parameterized model for faces would allow the animator to create any facial image by specifying the appropriate set of parameter values. Using the interface developed along with the proposed algorithm, these images can be used to develop an animation based on an interactive system, virtual reality and games. Interface allows selection of linear and non linear interpolation, play animation and save animation. In this paper we have highlighted advantages and disadvantages of linear and non linear interpolation and proposed a method which incorporates advantages of both.
Τύπος εγγράφου: Thesis
Περιγραφή αρχείου: application/pdf
Γλώσσα: English
Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.206.3855; http://www.ijcaonline.org/volume3/number4/pxc3871011.pdf
Διαθεσιμότητα: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.206.3855
http://www.ijcaonline.org/volume3/number4/pxc3871011.pdf
Rights: Metadata may be used without restrictions as long as the oai identifier remains attached to it.
Αριθμός Καταχώρησης: edsbas.2A83F21A
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  Data: Parametric Facial Expression Synthesis and Animation
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  Data: <searchLink fieldCode="AR" term="%22Narendra+M+Patel%22">Narendra M Patel</searchLink><br /><searchLink fieldCode="AR" term="%22Mukesh+Zaveri%22">Mukesh Zaveri</searchLink>
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  Data: In this paper, we proposed a parametric model based facial animation synthesis. In the proposed algorithm various facial expressions are generated using the parametric models and the novelty of the algorithm is that new expressions can be generated by blending selected expressions. A complete parameterized model for faces would allow the animator to create any facial image by specifying the appropriate set of parameter values. Using the interface developed along with the proposed algorithm, these images can be used to develop an animation based on an interactive system, virtual reality and games. Interface allows selection of linear and non linear interpolation, play animation and save animation. In this paper we have highlighted advantages and disadvantages of linear and non linear interpolation and proposed a method which incorporates advantages of both.
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      – SubjectFull: General Terms Animation
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      – SubjectFull: Computer graphics. Keywords Parametric model
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      – SubjectFull: facial animation
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      – SubjectFull: blending
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      – SubjectFull: interpolation
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