This approach shares a lot in common with the idea of multivariate interpolation over scattered data. Multivariate interpolation attempts to estimate values at unknown points within an existing data set and is often used in fields such as geostatistics or for geophysical analysis like elevation modelling. We can think of our colour palette as the set of variables we want to interpolate from, and our input colour as the unknown we’re trying to estimate. We can borrow some ideas from multivariate interpolation to develop more effective dithering algorithms.
As fewer people choose to pair up, let alone marry, it could be that our species’ mating patterns are moving closer to the natural order
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But even with that level of subterfuge, the abuser was conscious of "covering their tracks", cropping or altering any identifying features, says Squire. It was impossible to work out who, or where, Lucy was.
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