Sentence examples for facial database from inspiring English sources

Exact(4)

But they contain a hidden element of artificial intelligence as well: images are collected and compared with a facial database of V.I.P. customers.

(6) Facial Database.

These four visualization figures are a picture subset of our facial database of four facial colors, respectively, which are projected in a two-dimensional space corresponding to the facial color and gloss dimensions.

In order to make sure that there was no selection bias, we first compared facial principal components (PCs; ie, exposure variables; see below) of the study sample (2348 adolescents) with those of 4747 adolescents forming a 3D facial database 22 and concluded that there was no reason to believe that selected individuals were significantly different in terms of facial morphology.

Similar(56)

In less paranoid vein, facial databases are also being developed by marketeers to build communities of customers based on appearance-affinities.

The center's year-long investigation, based on more than 100 police records requests, has produced the most comprehensive survey of facial databases to date and raises numerous questions about the lack of transparency and privacy protections.

That means many people, the vast majority of whom are people of color, may remain in facial databases even if they weren't charged, said David Rocah, senior staff attorney with the ACLU of Maryland.

There are already huge government-controlled facial databases: your photo on your driver's licence, government-issued identity card, travel visa and passport ends up in a government office.

The proposed NW-Fisherfaces was compared with Orthogonal Laplacianfaces, Eigenfaces, Fisherfaces, direct linear discriminant analysis, and null space linear discriminant analysis methods for tests on five facial databases.

Experiments on 8 × 8 and 8 × 6 images down-sampled from extended Yale B, FERET, and AR facial databases revealed that the proposed algorithm outperforms the state-of-the-art methods under severe illumination variation and very low-resolution conditions.

Simulations carried on the extended Yale B, FERET, and AR facial databases reveal that the proposed kernel linear regression classification (KLRC) can achieve good performance for LR face recognition under variable lighting changes without any preprocessing.

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