While there exist many possible ways to triangulate a set of points, the most common method for TINs is the Delaunay triangulation. This is because Delaunay triangulations tend to produce more regular tessellations that are better suited to interpolation. In theory, we can represent our colour palette as a TIN by computing the 3D Delaunay triangulation of the colours in colour space. The nice thing about this is that it makes finding an enclosing simplex much faster; the candidate selection process is simply a matter of determining the enclosing tetrahedron of an input point within the network using a walking algorithm, and taking the barycentric coordinates as the weights.
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The design choices have performance implications. Here are benchmarks from the reference implementation of this possible alternative compared to Web streams (Node.js v24.x, Apple M1 Pro, averaged over 10 runs):。业内人士推荐一键获取谷歌浏览器下载作为进阶阅读
18:53, 27 февраля 2026Ценности
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