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pro vyhledávání: '"Short, Nathaniel J."'
Autor:
Poster, Domenick, Thielke, Matthew, Nguyen, Robert, Rajaraman, Srinivasan, Di, Xing, Fondje, Cedric Nimpa, Patel, Vishal M., Short, Nathaniel J., Riggan, Benjamin S., Nasrabadi, Nasser M., Hu, Shuowen
Thermal face imagery, which captures the naturally emitted heat from the face, is limited in availability compared to face imagery in the visible spectrum. To help address this scarcity of thermal face imagery for research and algorithm development,
Externí odkaz:
http://arxiv.org/abs/2101.02637
Recent advances in domain adaptation, especially those applied to heterogeneous facial recognition, typically rely upon restrictive Euclidean loss functions (e.g., $L_2$ norm) which perform best when images from two different domains (e.g., visible a
Externí odkaz:
http://arxiv.org/abs/2008.08473
Thermal-to-visible face verification is a challenging problem due to the large domain discrepancy between the modalities. Existing approaches either attempt to synthesize visible faces from thermal faces or learn domain-invariant robust features from
Externí odkaz:
http://arxiv.org/abs/2004.09502
Polarimetric thermal to visible face verification entails matching two images that contain significant domain differences. Several recent approaches have attempted to synthesize visible faces from thermal images for cross-modal matching. In this pape
Externí odkaz:
http://arxiv.org/abs/1904.07344
The large domain discrepancy between faces captured in polarimetric (or conventional) thermal and visible domain makes cross-domain face verification a highly challenging problem for human examiners as well as computer vision algorithms. Previous app
Externí odkaz:
http://arxiv.org/abs/1812.05155
Synthesis of visible spectrum faces from thermal facial imagery is a promising approach for heterogeneous face recognition; enabling existing face recognition software trained on visible imagery to be leveraged, and allowing human analysts to verify
Externí odkaz:
http://arxiv.org/abs/1803.07599
Akademický článek
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Akademický článek
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Publikováno v:
2016 IEEE Winter Conference on Applications of Computer Vision (WACV); 2016, p1-7, 7p
Publikováno v:
Face Recognition Across the Imaging Spectrum; 2016, p69-90, 22p