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A survey of approaches and challenges in 3D and multi-modal 3D + 2D face recognition.

, , and . Comput. Vis. Image Underst., 101 (1): 1-15 (2006)

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Domain-Specific Human-Inspired Binarized Statistical Image Features for Iris Recognition., , , and . WACV, page 959-967. IEEE, (2019)SREFI: Synthesis of realistic example face images., , , , and . IJCB, page 37-45. IEEE, (2017)On Hallucinating Context and Background Pixels from a Face Mask using Multi-scale GANs., , , and . CoRR, (2018)Region extraction in large-scale urban LIDAR data., , and . ICCV Workshops, page 1801-1808. IEEE Computer Society, (2009)Eigenshapes for 3D Object Recognition in Range Data., and . CVPR, page 2505-2510. IEEE Computer Society, (1999)To Frontalize or Not to Frontalize: Do We Really Need Elaborate Pre-processing to Improve Face Recognition?, , , , , , , and . WACV, page 20-29. IEEE Computer Society, (2018)"Keep Me In, Coach!": A Computer Vision Perspective on Assessing ACL Injury Risk in Female Athletes., , , , and . WACV, page 1366-1374. IEEE, (2019)Human Face Modeling and Recognition Through Multi-View High Resolution Stereopsis., , , and . CVPR Workshops, page 50. IEEE Computer Society, (2006)Are iris crypts useful in identity recognition?, and . BTAS, page 1-6. IEEE, (2013)Saliencies and symmetries: toward 3D object recognition from large model databases.. CVPR, page 322-327. IEEE, (1992)