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Multiview Facial Landmark Localization in RGB-D Images via Hierarchical Regression With Binary Patterns
2014
IEEE transactions on circuits and systems for video technology (Print)
In this paper, we propose a real-time system of multiview facial landmark localization in RGB-D images. The facial landmark localization problem is formulated into a regression framework, which estimates both the head pose and the landmark positions. In this framework, we propose a coarse-tofine approach to handle the high-dimensional regression output. At first, 3-D face position and rotation are estimated from the depth observation via a random regression forest. Afterward, the 3-D pose is
doi:10.1109/tcsvt.2014.2308639
fatcat:tgolcsfjrjf3tomvl6ipxzt6p4