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   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">Nicholas Negroponte.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Brennan, Susan Elise</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Dept. of Architecture.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Architecture</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2005-08-04T19:07:25Z</dim:field>
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   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">1982</dim:field>
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   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">09343480</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (M.S.V.S.)--Massachusetts Institute of Technology, Dept. of Architecture, 1982.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">MICROFICHE COPY AVAILABLE IN ARCHIVES AND ROTCH.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Bibliography: leaves 111-116.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">The human face is a highly significant visual display which we are able to remember and recognize easily despite the fact that we are exposed to thousands of faces which may be metrically very similar. caricature is a graphical coding of facial features which seeks to be more like the face than the face itself: selected information is exaggerated, noise is reduced, and the processes involved in recognition are exploited. After studying the methods of caricaturists, examining perceptual phenomena regarding individuating features, and surveying automatic and man-machine systems which represent and manipulate the face, some heuristics for caricature are defined . An algorithm is implemented to amplify the nuance of a human face in a computer- generated caricature. This is done by comparing the face to a norm and then distorting the face even further away from that norm . Issues of style, context and animation are discussed. The applications of the caricature generator in the areas of teleconferencing, games, and interactive graphic interfaces are explored.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Susan Elise Brennan.</dim:field>
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   <dim:field mdschema="dc" element="publisher" lang="en_US">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="rights" lang="en_US">M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.</dim:field>
   <dim:field mdschema="dc" element="rights" qualifier="uri">http://dspace.mit.edu/handle/1721.1/7582</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Architecture.</dim:field>
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   <dim:field mdschema="dc" element="subject" qualifier="lcsh" lang="en_US">Computer animation</dim:field>
   <dim:field mdschema="dc" element="subject" qualifier="lcsh" lang="en_US">Caricature</dim:field>
   <dim:field mdschema="dc" element="subject" qualifier="lcsh" lang="en_US">Interactive computer systems</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Caricature generator</dim:field>
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   	&lt;Title>Caricature generator&lt;/Title>
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   	&lt;Abstract>The human face is a highly significant visual display which we are able to remember and recognize easily despite the fact that we are exposed to thousands of faces which may be metrically very similar. caricature is a graphical coding of facial features which seeks to be more like the face than the face itself: selected information is exaggerated, noise is reduced, and the processes involved in recognition are exploited. After studying the methods of caricaturists, examining perceptual phenomena regarding individuating features, and surveying automatic and man-machine systems which represent and manipulate the face, some heuristics for caricature are defined . An algorithm is implemented to amplify the nuance of a human face in a computer- generated caricature. This is done by comparing the face to a norm and then distorting the face even further away from that norm . Issues of style, context and animation are discussed. The applications of the caricature generator in the areas of teleconferencing, games, and interactive graphic interfaces are explored.&lt;/Abstract>
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