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The PC6 represents shape variation that is symmetric under reflection about the vertical axis.
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Another topic concerns the population coding that represents shapes of functions.
This approach represents shapes of curves as elements of an infinite dimensional nonlinear space and achieves an elastic correspondence using a Riemannian metric that is fully invariant to reparameterizations of curves.
and are both vectors representing shape and texture parameters.
Apart from these two flaws, shape distribution is one of the basic methods to represent shape.
3D displays better represent shape understanding as a full 360° viewing angle can be achieved.
The presented approach is completely different from Osada's except the use of PDFs to represent shape.
The boundary representations (B-reps) that are used to represent shape in Computer-Aided Design systems create unavoidable gaps at the face boundaries of a model.
PC2 explained 25.3% and mainly represented shape differences.
Secondly, it is reliable in representing shape and position, including the accurate position of fiducial markers.
Eigenvalues and a complete orthonormal set of eigenvectors representing shape variation were obtained using singular value decomposition (SVD) of the pooled covariance in the population studied.
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