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Bayesian head pose estimation

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If you have a question about this talk, please contact Emli-Mari Nel.

This is a work-in-progress talk on estimating the shape and pose of a human head in multiple images. In a previous talk I discussed a new Bayesian feature localisation method, applied to locating irises in an image of a face. By retraining this method on other facial features and localising these features in multiple images of the same person, it is possible to compute a probabilistic estimate of (a) the shape of a persons head, i.e. relative locations of features on the face, and (b) the head pose, consisting of 3-dimensional location and rotation.

This talk is part of the Inference Group series.

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