Biometric recognition with occlusions by using multi-scale graph with MS-DGR
Biometric recognition with occlusions by using multi-scale graph with MS-DGR
Multiscale Dynamic Graph Representation for Biometric Recognition with Occlusions
arXiv paper abstract https://arxiv.org/abs/2307.14617
arXiv PDF paper https://arxiv.org/pdf/2307.14617.pdf
Occlusion is a common problem with biometric recognition in the wild.
... propose a novel unified framework integrating the merits of both CNNs and graph models to overcome occlusion problems in biometric recognition, called multiscale dynamic graph representation (MS-DGR).
More specifically, a group of deep features reflected on certain subregions is recrafted into a feature graph (FG).
Each node inside the FG is deemed to characterize a specific local region of the input sample, and the edges imply the co-occurrence of non-occluded regions.
By analyzing the similarities of the node representations and measuring the topological structures stored in the adjacent matrix, the proposed framework leverages dynamic graph matching to judiciously discard the nodes corresponding to the occluded parts.
... demonstrate the superiority of the proposed framework, which boosts the accuracy in both natural and occlusion-simulated cases by a large margin ...
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