From pixels to response maps: discriminative image filtering for face alignment in the wild
We propose a face alignment framework that relies on the texture model generated by the responses of discriminatively trained part-based filters. Unlike standard texture models built from pixel intensities or responses generated by generic filters (e.g. Gabor), our framework has two important advant...
| Main Authors: | , , , , |
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| Format: | Article |
| Published: |
Institute of Electrical and Electronics Engineers
2014
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| Online Access: | https://eprints.nottingham.ac.uk/31438/ |