On the application of the probabilistic linear discriminant analysis to face recognition across expression

Facial expression is one of the main issues of face recognition in uncontrolled environments. In this paper, we apply the probabilistic linear discriminant analysis (PLDA) method to recognize faces across expressions. Several PLDA approaches are tested and cross-evaluated on the Cohn-Kanade and JAFFE databases. With less samples per gallery subject, high recognition rates comparable to previous works have been achieved indicating the robustness of the approaches. Among the approaches, the mixture of PLDAs has demonstrated better performances. The experimental results also indicate that facial regions around the cheeks, eyes, and eyebrows are more discriminative than regions around the mouth, jaw, chin, and nose.

Unravel and picking at scabs : the underside of grief (a novella and exegesis)

This thesis consists of a 46,000 word polyphonic novella, Unravel, and an exegesis, Picking at Scabs: the Underside of Grief. The works are companion pieces, sitting side-by-side, and together they plumb the complex depths of loss and its resultant disorder, painful longing, and sorrow. The novella, representing 75% of the work and creative practice, is a multilayered work, which scrapes at the potent unspeakability of the presence of absence in the lives of its chief protagonists, Hana and Guy. As the novella progresses, loss is unraveled to reveal the interplay of remembering and forgetting, past and present and the ways in which these knotty fibres are connected with the strands of memory, trauma, silence, and the uncanny. Each of these threads is woven into the novella and as they plait together, loosen and fray, they expose the mystery, lies and secrets at the core of the novella. The exegesis, which comprises 25% of the thesis, picks at loss to uncover and loosen a complex and worn tangle of knots and loops. In this way, the exegesis and creative work are constantly in dialogue and while neither provides all the answers, both stretch the yarn to reveal an enthusiasm of practice.