Visual laughter synthesis is a challenging task that was only rarely explored and empirical investigations are scarce. For the purpose of building a virtual agent able to laugh naturally we exploit different animation techniques such as a procedural animation or based on motion capture and we apply them to visual laughter synthesis. At the moment we focus on three approaches: procedural animation based on manual annotation of facial behavior; motion capture driven animation and animation generated from automatic facial movements detection.