SID-avatar database: A 3D Avatar Dataset for virtual world research

Virtual worlds have become a target to criminal activities. With the increasing interest in these spaces, their security is becoming a challenge. The recently published works have proposed methodologies for the security of the virtual world based on avatar face authentication. However, the developed recognition systems have been validated on the avatar image datasets which belong to the authors themselves. In order to objectively judge these methods, a great availability of standard datasets is required. Taking into account the importance of the considered stakes, the development of a common database to test the different suggested techniques is becoming an essential step. In this paper we present collected datasets from the Second Life virtual world which contains 3D meshes of avatars representing the real objects in the virtual worlds. Our work consists in conceiving a standard sub-base that can be used to develop new security methodologies dedicated to avatar recognition or authentication in the 3D dimension.