Knowledge Fusion with Supervised Deep Analysis Dictionary Learning for Kinship Verification

Abstract

Consider the new challenge of determining the relationship or kinship between two people based on the face photographs that are provided. Although it can be difficult, finding kin ties between matched images across big datasets is crucial in numerous computer vision applications. We present a novel knowledge fusion-based supervised deep analysis dictionary learning architecture for face kinship verification using recent advancements in deep learning and dictionary learning and then solve the optimization problem. Three datasets for kinship verification serve as examples of the experimental effectiveness. Results reveal that our suggested solution outperforms challenging state-of-the-art algorithms by a wide margin.