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scale invariant feature transform.
partial intensity invariant feature descriptor.
An invariant feature across shadow boundary is the image gradient.
where νmin is the minimum value of invariant feature vector for a writer; νmax is the maximum value of invariant feature vector for a writer; and f is the number of invariant feature vector column.
One among such descriptor is the Scale Invariant Feature Transform (SIFT).
The Fourier Mellin transform (FMT) served to produce a translation, rotation and scale invariant feature.
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This approach expands the domain-invariant feature space for smoke image samples.
Jean et al. [18] introduced body part trajectories as the view-invariant feature.
Two separate rotation-invariant feature vectors are proposed and evaluated in this study.
The first one is the scale-invariant feature transform (SIFT) [2].
Given a particular Kp, we use the scale-invariant feature transform to compute a descriptor, Ds.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com