Free of coarseness

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Possible Answers: SIFT.

Last seen on: Wall Street Journal Crossword – Sep 7 2017 – e-Mobility

Random information on the term “SIFT”:

The scale-invariant feature transform (SIFT) is an algorithm in computer vision to detect and describe local features in images. The algorithm was patented in the US by the University of British Columbia and published by David Lowe in 1999.

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Applications include object recognition, robotic mapping and navigation, image stitching, 3D modeling, gesture recognition, video tracking, individual identification of wildlife and match moving.

For any object in an image, interesting points on the object can be extracted to provide a “feature description” of the object. This description, extracted from a training image, can then be used to identify the object when attempting to locate the object in a test image containing many other objects. To perform reliable recognition, it is important that the features extracted from the training image be detectable even under changes in image scale, noise and illumination. Such points usually lie on high-contrast regions of the image, such as object edges.

SIFT on Wikipedia