sift

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sift something from something

to remove something from something by sifting. Fran sifted all the impurities from the flour before using it. Timmy sifted all the leaves from the sand in his sandbox.
See also: sift

sift something out of something

 and sift something out
to get rid of something in something else by sifting. Dan sifted the impurities out of the flour. Walter sifted out the foreign matter.
See also: of, out, sift

sift something through something

to make something pass through something such as a sieve. she sifted the powdered sugar through a strainer. Please sift the soil through this screen and watch for bits of pottery.
See also: sift, through

sift through something

to examine all parts of something. The fire inspector sifted through the rubble, looking for clues to the start of the fire. We sifted through all the papers in the old trunk, but we did not find what we were looking for.
See also: sift, through

sift out

v.
To separate some class, kind, or size from others with or as if with a sieve: The jeweler sifted out the larger gems. An insurance investigator sifts the honest claims out from the false ones.
See also: out, sift

sift through

v.
To search through some container or collection: I sifted through the laundry pile to find a pair of socks.
See also: sift, through
References in periodicals archive ?
The SURF feature detector works in a different way from SIFT.
The SURF features are found to be an efficient compared to the SIFT one with preserved repeatability, robustness, and distinctiveness of the descriptors [8], [19].
Therefore, the feature extraction using SIFT or SURF has been repeated 80 times.
According to the previous evaluation of the SIFT feature detector reported in [10], we set the optimum SIFT threshold to 0.
The experimental results prove the significant reduction of the feature extraction time, and the features matching time when running the SIFT on the GPU.
From that figure, the CPU utilization starts low (around 25%) during the feature extraction phase, and it goes extremely high (around 98%) during the SIFT feature matching.