This paper details the results of a Face Authentication Test (FAT2004) [5] held in conjunction with the 17th International Conference on Pattern Recognition. The contest was held on the publicly available BANCA database [1] according to a defined protocol [7]. The competition also had a sequestered part in which institutions had to submit their algorithms for independent testing. 13 different verification algorithms from 10 institutions submitted results. Also, a standard set of face recognition software packages from the Internet [2] were used to provide a baseline performance measure.

The dynamic affinity adsorption of lysozyme through stacked flat-sheet cellulose membranes with immobilized cibacron blue 3GA was studied and compared to three affinity-membrane models: diffusion model to explore the importance of axial and radial diffusion; variation model to study the effects of pore-size distribution or thickness variation; and stack model to investigate the effects of stacking flat-sheet membranes. For the diffusion model, when Per> 0.1, radial diffusional resistance is significant, but when Pe, < 25, axial dispersion must be considered. For the variation model, increasing pore-size distribution or nonuniform membrane thickness greatly broadens the breakthrough curve. The stack model shows that the stacking of membranes significantly sharpens the breakthrough curves by averaging out the flow dispersion due to pore-size distribution or thickness variation.

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We tested the impact of very high vs. high spatial resolution (∼200 vs ∼100 dpi) displays on user performance for common computer tasks such as text editing and spreadsheet use. We found advantages for the very high resolution display and for LCDs over CRTs.