A semi-automatic methodology for facial landmark annotation
Developing powerful deformable face models requires massive, annotated face databases on which techniques can be trained, validated and tested. Manual annotation of each facial image in terms of landmarks requires a trained expert and the workload is usually enormous. Fatigue is one of the reasons t...
Main Authors: | , , , |
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Format: | Conference or Workshop Item |
Language: | English |
Published: |
2013
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Online Access: | http://eprints.nottingham.ac.uk/31432/ http://eprints.nottingham.ac.uk/31432/ http://eprints.nottingham.ac.uk/31432/1/tzimiroCVPRW13.pdf |