for each sample point x: F = -threshold for each blob i near x: r = distance(x, blob[i].pos) F += blob[i].weight * kernel(r, blob[i].radius) if F >= 0: point is inside Kernel example: compact quartic

if r >= R: k=0 else t = 1 - (r/R) k = t^4 Example B — Sphere tracing (raymarch) root find (pseudocode):

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Blobcg Vr Best [cracked] -

for each sample point x: F = -threshold for each blob i near x: r = distance(x, blob[i].pos) F += blob[i].weight * kernel(r, blob[i].radius) if F >= 0: point is inside Kernel example: compact quartic

if r >= R: k=0 else t = 1 - (r/R) k = t^4 Example B — Sphere tracing (raymarch) root find (pseudocode):

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