In the paper we describe improved methods of modelling which couple shape and grey-level information more directly than our existing methods, isolate the ...
Statistical models of face images - improving specificity
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PDMs have been used successfully both for modelling shape variation of faces and locating facial features in image search [1,2]. An advantage of PDMs over other.
Methods described so far include: Modelling grey-level variation using eigenfaces [1, 2], models based on class specific linear projection [3], combined shape.
Statistical models of face images - improving specificity
www.semanticscholar.org › paper › Statis...
This chapter describes a powerful method of generating compact models of shape and texture variation, and describes two methods—the Active Shape Model (ASM) ...
Edwards, GJ ; Lanitis, AA ; Taylor, CJ et al. / Statistical models of face images:Improving specificity. British Machine Vision Conference. Edinbugh, 1996.
In the paper we describe improved methods of modelling which couple shape and grey-level information more directly than our existing methods, isolate the ...
Model-based approaches to the interpretation of face images have proved very successful. We have previously described statistically based models of face ...
Statistical models are parameterized, flexible models which have emerged as powerful tools for representing, interpreting, and synthesizing the complex ...
In the paper we describe improved methods of modelling which couple shape and grey-level information more directly than our existing methods, isolate the ...
Synthesis uses these statistics to adjust a different face's displacement image, and the result is combined with a base mesh to form a new face. Depending ...