Face aging has been widely considered in many studies regarding all the potential applications. However, the de-aging known as the rejuvenation or backward modeling has recently received more attention. Previous studies mainly focused on rejuvenating faces from aged adults into young adults using two-dimensional (2D) models. In this work, we propose an extension of a previous 2D adult-child B-FAM into 3D model. This model allows a digital face appearance rejuvenation within a range of [75–3] years old. To evaluate the performances of the proposed approach, first, we proposed two performance evaluation modes, namely: Generic Perception Based and Biometric Verification Mode. Then, the performances have been evaluated over our own 3D database, called Face Time-Machine database constructed using 75 females and 70 males, leading to 500 textured surface meshes. Finally, results show that they are perceptually satisfying and system performance increases by using the faces obtained from our model.

在许多有关所有潜在应用的研究中，人脸老化已被广泛考虑。但是，近来被称为复兴或向后建模的衰老受到了更多关注。先前的研究主要集中在使用二维（2D）模型将老年人的面孔恢复为年轻人的面孔。在这项工作中，我们建议将以前的2D成人B-FAM扩展到3D模型中。该模型可以使数码面部外观在[75–3]岁的范围内恢复活力。为了评估所提出方法的性能，首先，我们提出了两种性能评估模式，即：基于通用感知和生物特征验证模式。然后，通过我们自己的3D数据库（称为Face Time-Machine数据库）对表演进行了评估，该数据库由75位女性和70位男性组成，导致500个纹理表面网格。最后，结果表明，使用从我们的模型获得的面孔，它们在感知上令人满意，并且系统性能有所提高。