Robust Head-Pose Estimation Based on Partially-Latent Mixture of Linear Regressions

31 Mar 2016Vincent DrouardRadu HoraudAntoine DeleforgeSilèye BaGeorgios Evangelidis

Head-pose estimation has many applications, such as social event analysis, human-robot and human-computer interaction, driving assistance, and so forth. Head-pose estimation is challenging because it must cope with changing illumination conditions, variabilities in face orientation and in appearance, partial occlusions of facial landmarks, as well as bounding-box-to-face alignment errors... (read more)

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