Overview
Quadric error simplification assigns each vertex an error metric from nearby planes and uses a priority queue to collapse low-cost edges.
Simplifies a mesh by collapsing edges that add the least quadric error.
Compact metadata for implementation and discovery.
Quadric error simplification assigns each vertex an error metric from nearby planes and uses a priority queue to collapse low-cost edges.
Quick facts
Runtime and memory behavior at a glance.
Best
O(E log E)
Average
O(E log E)
Worst
O(E log E)
Space
O(V + E)
error(v) = v^T Q vScores how far a candidate vertex is from accumulated local planes.
Draw the input shapes, active tests, and generated geometric result.
Quadric Error Mesh Simplification should be used with the assumptions and tradeoffs of mesh Simplification in mind.
What each reference supports for this entry.
Original reference for mesh simplification using quadric error metrics.
Open sourceGood next jumps from the relationship graph, ranked for useful discovery.
Simplification reduces mesh complexity while subdivision increases it.
Both reduce geometric complexity using an error criterion.