Browsing by Author "Milborrow, Stephen"

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    Locating facial features with active shape models
    (2007) Milborrow, Stephen; Nicolls, Fred
    This dissertation focuses on the problem of locating features in frontal views of upright human faces. The dissertation starts with the Active Shape Model of Cootes et al. [19] and extends it with the following techniques: 1. Selectively using two-instead of one-dimensional landmark profiles. 2. Stacking two Active Shape Models in series. 3. Extending the set of landmarks. 4. Trimming covariance matrices by setting most entries to zero. 5. Using other modifications such as adding noise to the training set. The resulting feature locater is shown to compare favorably with previously published methods.
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    Multiview active shape models with SIFT descriptors
    (2016) Milborrow, Stephen; Nicolls, Fred C
    This thesis presents techniques for locating landmarks in images of human faces. A modified Active Shape Model (ASM [21]) is introduced that uses a form of SIFT descriptors [68]. Multivariate Adaptive Regression Splines (MARS [40]) are used to efficiently match descriptors around landmarks. This modified ASM is fast and performs well on frontal faces. The model is then extended to also handle non-frontal faces. This is done by first estimating the face's pose, rotating the face upright, then applying one of three ASM submodels specialized for frontal, left, or right three-quarter views. The multiview model is shown to be effective on a variety of datasets.