Using deep autoencoders to learn robust domain-invariant representations for still-to-video face recognition
Video-based face recognition (FR) is a challenging task in real-world applications. In still-to-video FR, probe facial regions of interest (ROIs) are typically captured with lower-quality video cameras under unconstrained conditions, where facial appearances vary according to pose, illumination, sca...
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| Published in: | 2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) pp. 1 - 6 |
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| Main Authors: | , , , |
| Format: | Conference Proceeding |
| Language: | English |
| Published: |
IEEE
01.08.2017
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| Subjects: | |
| Online Access: | Get full text |
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