Heterogeneous Face Recognition Using Kernel Prototype Similarities

By Brendan Klare, Anil K. Jain. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013

373 citations recorded by the source corpus.

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CASIA-SURF: A Large-Scale Multi-Modal Benchmark for Face Anti-Spoofing (2019, neutral): “This is the heterogeneous face recognition [51], [52] task, which involves matching two face images from alternate imaging modalities, such as an IR image to a RGB image”
Multi-Task Learning with Low Rank Attribute Embedding for Multi-Camera Person Re-Identification (2018, methodology): “Like [17], [18], [19], if the training set contains C persons, we use the MTL-LORAE to train C classifiers and then formulate each classifier learning as a regression problem.”
Local binary features for texture classification: Taxonomy and experimental study (2017, methodology): “LBP and SIFT LBP and SIFT Face Recognition 2012 [99]”
Channel Augmented Joint Learning for Visible-Infrared Recognition (2021, background): “Identity recognition (person re-identification [22], face recognition [11, 19]) systems have achieved significant success recently.”
Wasserstein CNN: Learning Invariant Features for NIR-VIS Face Recognition (2017, methodology): “performed discriminative feature selection and common subspace learning for different modalities and [44] proposed a prototype random subspace method with kernel similarities for HFR.”