Statistical models of shape and appearance (combined appearance models) were introduced by Cootes, Edwards, Lanitis and Taylor [1,2], and have since been applied extensively (eg [14,11,10]). The construction of an appearance model depends on establishing a dense correspondence across a training set of images using a set of landmark points marked consistently on each training image.
Using the notation of Cootes [2], the shape
(configuration of landmark points) can be represented as a vector
and the texture (intensity values) in a
shape-normalised frame represented as a vector
.
The shape and texture are controlled by statistical models of the
form:
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(1) |
Since shape and texture are often correlated, this can
be taken into account in a combined statistical model of the form:
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(2) |
[scale=0.6]../Graphics/faces_standard.png
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