A New Swarm Intelligence Algorithm for Image Alignment

Swarm Intelligence is the emergent collective intelligence of groups composed of simple and quasi-independent agents. Algorithms following this paradigm show many desirable properties: flexibility, decentralized control, robustness, fault tolerance. This paper presents a new agent coordination model loosely inspired by the way some species of ants collectively transport large preys. The model is used to build a Swarm Intelligence algorithm for the problem of image alignment. The novelty of the approach and its effectiveness are discussed.