Synergy between face alignment and tracking via Discriminative Global Consensus Optimization

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Synergy between face alignment and tracking via Discriminative Global Consensus Optimization

An open question in facial landmark localization in video is whether one should perform tracking or tracking-by-detection (i.e. face alignment). Tracking produces fittings of high accuracy but is prone to drifting. Tracking-by-detection is drift-free but results in low accuracy fittings. To provide...

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Bibliographic Details
Main Authors:	Khan, Muhammad Haris, McDonagh, John, Tzimiropoulos, Georgios
Format:	Conference or Workshop Item
Published:	2017
Online Access:	https://eprints.nottingham.ac.uk/44755/

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