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Subspace Learning from Image Gradient Orientations., , and . IEEE Trans. Pattern Anal. Mach. Intell., 34 (12): 2454-2466 (2012)Nonlinear Non-Negative Component Analysis Algorithms., and . IEEE Trans. Image Processing, 19 (4): 1050-1066 (2010)From active appearance models and mnemonic descent to 3d morphable models: A brief history of statistical deformable models with examples in menpo., and . IPTA, page 1-2. IEEE, (2016)A Unified Framework for Probabilistic Component Analysis., , and . ECML/PKDD (2), volume 8725 of Lecture Notes in Computer Science, page 469-484. Springer, (2014)Towards a complete 3D morphable model of the human head., , , , , , , , and . CoRR, (2019)Recognition of 3D facial expression dynamics., , , and . Image Vis. Comput., 30 (10): 762-773 (2012)A robust similarity measure for volumetric image registration with outliers., , , , , and . Image Vis. Comput., (2016)300 W: Special issue on facial landmark localisation "in-the-wild"., , and . Image Vis. Comput., (2016)Neural 3D Morphable Models: Spiral Convolutional Networks for 3D Shape Representation Learning and Generation., , , , and . ICCV, page 7212-7221. IEEE, (2019)Principal Component Analysis With Complex Kernel: The Widely Linear Model., and . IEEE Trans. Neural Networks Learn. Syst., 25 (9): 1719-1726 (2014)