From pixels to response maps: discriminative image filtering for face alignment in the wild

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...

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Bibliographic Details
Main Authors: Asthana, Akshay, Zafeiriou, Stefanos, Tzimiropoulos, Georgios, Cheng, Shiyang, Pantic, Maja
Format: Article
Published: Institute of Electrical and Electronics Engineers 2014
Online Access:https://eprints.nottingham.ac.uk/31438/

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