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One starts to see the properties of this global shape with new eyes: the way one or more circles can stamp, flicker, radiate or bounce.
Learned global shape model to avoid non-plausible face shapes.
By this, a global shape of (12, 4) is produced.
A Bayesian framework unifies the local evidences into a global shape.
Patches represent HOG features while global shape is imposed via quadratic springs between them.
The local data reads: This yields a global shape of (12, 4).
Thus, it should be well suited to capture the global shape of LSF trajectories.
Figure 7(c) shows global shape adjustment by changing the shape parameters of two splicing curves.
The Fourier series technique is flexible in generating various shapes rather than using one global shape.
They do not seek global shape similarity while considering large local deformations.
The first part of the paper deals with database classification based on global shape descriptors.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com