RANSAC Algorithm: A Classical Approach for Outlier Removal with Code Implementation Insights
The RANSAC algorithm serves as a fundamental outlier removal technique that leverages intrinsic constraints within feature point sets to eliminate erroneous matches, with practical implementation involving iterative hypothesis generation and consensus evaluation.