A low threshold preserves detail (more leaf nodes, less compression). A high threshold merges aggressively (fewer leaves, more compression, but the image gets blocky). The grid overlay shows the quadtree structure: large cells in uniform areas, small cells where detail is preserved.
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Regions with many nearby points keep subdividing. Regions with few or no points stay large. The tree adapts to the data: dense areas get fine-grained cells, sparse areas stay coarse. The split grid is predetermined (always at midpoints), but the tree only refines cells that need it. Sparse regions stay as single large nodes while dense regions subdivide deeply.,详情可参考快连下载-Letsvpn下载