A 3D Visual Security (3DVS) score to measure the visual security level of selectively encrypted 3D objects

Abstract

Today, 3D objects are becoming more commonly used across many domains. However, it is necessary to secure them during their transmission over networks or when archiving them in the cloud. Encryption is a smart solution to protect 3D objects while remaining format compliant. While there exist many methods proposed for 3D quality evaluation, very few have been developed to evaluate the visual security level of encrypted 3D objects. In this paper, we propose an efficient metric, called 3D Visual Security (3DVS) score, to evaluate the visual security level of selectively encrypted 3D objects. First we present a new dataset composed of selectively encrypted 3D objects that have all been evaluated by more than 50 observers in terms of visual security. Secondly, we propose a model to determine the security parameters according to a desired security level. Finally, we detail our proposed 3DVS score which is based on full reference 3D metrics and serves to measure the visual security level of selectively encrypted 3D objects.