Coupling alignments with recognition for still-to-video face recognition
The Still-to-Video (S2V) face recognition systems typically need to match faces in low-quality videos captured under unconstrained conditions against high quality still face images, which is very challenging because of noise, image blur, low face resolutions, varying head pose, complex lighting, and...
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| Main Authors: | , , , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2013
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/6545 https://ink.library.smu.edu.sg/context/sis_research/article/7548/viewcontent/Coupling_alignments_with_recognition_for_still_to_video_face_recognition.pdf |
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| Institution: | Singapore Management University |
| Language: | English |