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The N-closest or N-best dithering algorithm is a straightforward solution to the N-candidate problem. As the name suggests, the set of candidates is given by the closest palette colours to the input pixel. To determine their weights, we simply take the inverse of the distance to the input pixel. This is essentially the inverse distance weighting (IDW) method for multivariate interpolation, also known as Shepard’s method. The following pseudocode sketches out a possible implementation:。关于这个话题，服务器推荐提供了深入分析
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addSolidGeometry(new THREE.LatheGeometry(points));
「所以坦白說，所謂『兩面獎牌失之交臂』的論調，我認為是種荒謬的觀點。」