Recognizing Partial Biometric Patterns

17 Oct 2018 Lingxiao He Zhenan Sun Yuhao Zhu Yunbo Wang

Biometric recognition on partial captured targets is challenging, where only several partial observations of objects are available for matching. In this area, deep learning based methods are widely applied to match these partial captured objects caused by occlusions, variations of postures or just partial out of view in person re-identification and partial face recognition... (read more)

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Methods used in the Paper


METHOD TYPE
Max Pooling
Pooling Operations
Convolution
Convolutions
Triplet Loss
Loss Functions
FCN
Semantic Segmentation Models