Kinship verification from face images is a novel and formidable challenge in the realms of pattern recognition and computer vision. This work makes notable contributions by incorporating a preprocessing technique known as Multiscale Retinex (MSR), which enhances image quality. Our approach harnesses the strength of complementary deep (VGG16) and shallow texture descriptors (BSIF) by combining them at the score level using Logistic Regression (LR) technique. We assess the effectiveness of our approach by conducting comprehensive experiments on three challenging kinship datasets: Cornell Kin Face, UB Kin Face and TS Kin Face

翻译：人脸图像中的亲属关系验证是模式识别与计算机视觉领域一项新颖且极具挑战性的任务。本文通过引入多尺度Retinex（MSR）预处理技术提升图像质量，取得了显著贡献。我们的方法利用互补的深度特征（VGG16）与浅层纹理描述符（BSIF），在分数层面上通过逻辑回归（LR）技术进行融合。通过在三个具有挑战性的亲属关系数据集（Cornell Kin Face、UB Kin Face及TS Kin Face）上进行全面实验，我们评估了所提方法的有效性。