Random sample consensus

Random Sample Consensus (RANSAC) is an iterative algorithm used in robust estimation to fit a mathematical model to a set of observed data points. It is particularly useful when dealing with data that may contain a significant proportion of outliers—data points that do not conform to the expected model. Here’s how the RANSAC algorithm generally works: 1. **Random Selection**: Randomly select a subset of the original data points.