Featured Challenge: #11 — 3D Terrain Generation with Perlin Noise
Let's fly to new heights with a 3D terrain coding challenge! Using Perlin Noise and beginShape() + endShape() with triangle strips, I'll guide you through visualizing a 3D procedural terrain in Processing.
The Ramer–Douglas–Peucker algorithm (aka "iterative end-point fit algorithm"), takes a curve composed of line segments and reduces the fidelty to a "lower fidelity" curve with fewer points.