Sensor network
Named by 2 essays across one field — each of them below, with the objects they name alongside it.
Counting targets by their holes
The Euler characteristic adds up like an area: glue two shapes together and it is the sum of theirs minus that of their overlap. So it can be used to measure, and measuring with it does something no area can. A field of sensors that each report only how many targets they detect — not which, not where — can have its readings added up, weighted by the Euler characteristics of the regions where the count is high, and the answer is exactly the number of targets.
Counting targets when the sensors make mistakes
Add up the Euler characteristics of the regions where sensor counts are high and the answer is exactly the number of targets — until one sensor misreads. Each wrong reading is a new piece or a new hole, so the error grows with the number of sensors instead of averaging away. Smooth the readings and count each piece and hole by how long it survives as the threshold is lowered, and the count comes back exactly, with half the readings wrong, at the price of having to know how small a real feature can be.
Named alongside it
The objects these essays reach for when they reach for this one.
Euler characteristicIntegralTopological invariantCounting argumentInclusion exclusionMeasurePersistenceRobustnessSmoothing