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Accurate Landmarking of Three-Dimensional Facial Data in the Presence of Facial Expressions and Occlusions Using a Three-Dimensional Statistical Facial Feature Model
2011
IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)
Three-dimensional face landmarking aims at automatically localizing facial landmarks and has a wide range of applications (e.g., face recognition, face tracking, and facial expression analysis). Existing methods assume neutral facial expressions and unoccluded faces. In this paper, we propose a general learning-based framework for reliable landmark localization on 3-D facial data under challenging conditions (i.e., facial expressions and occlusions). Our approach relies on a statistical model,
doi:10.1109/tsmcb.2011.2148711
pmid:21622076
fatcat:o7jizii3ubgelmgg6xtvuhuvli