Choice of cad model adaptation process for virtual reality using classification techniques

Abstract

Virtual reality and augmented reality (V/AR) are powerful techniques for training, assistance, or supporting activities in the industry. However, the deployment of V/AR techniques in the industry is held back by various factors. The difficulty in adapting an original CAD model to a 3D model for V/AR is one of these factors. Currently, the adaptation process is very time consuming, and its result is unsatisfactory. The adaptation result is often of poor quality or it is poorly adapted to objective of the V/AR activity. A formalization of the specific needs of each V/AR activity will allow improving the level of satisfaction. To ensure a result of the adaptation that meets these specifications, it is necessary to know the most appropriate adaptation process. We, therefore, propose an approach using classification methods to predict the best adaptation process from cases of CAD model preparation for specific V/AR activities. Our approach allows obtaining a 3D model for V/AR without compromise between the quality of the adaptation and its duration.The developer of V/AR application could produce 3D content faster and better. This should facilitate the deployment of V/AR techniques in the industry. The proposed approach is illustrated and validated for two different objectives of industrial V/AR activities.