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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.

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configurable: true,

刘年丰:我们的最终定位是软硬一体的公司,我们也认为具身智能在“脑”不在“型”。可以参考苹果,最核心的竞争力不是摄像头、不是主板,而是操作系统和生态。这条路虽然难,但也是我们想走的路。

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