Evolutionary agent-based estimation of trifocal tensor for medical images

A novel estimation of a trifocal tensor based on evolutionary agents is presented. Each agent denotes a minimum subset for computing trilinear geometry and evolves autonomously in the vast solution space to obtain the optimal result. Experiments with medical images show that our approach is faster and more precise, and robust to noise and outliers.