Tools
General Scheme Figure 1 - General scheme of the algorithm.
Algorithm Stage 1 – Building an offline database The direct gaze
models are learned based on previous annotated examples. These examples are
stored in an offline database that is used to bootstrap the runtime
system. It consists of a separate set of 14 individuals for whom videos were
captured and manually annotated in accordance with the six parameter model. Figure 2 – Eyes from the offline database
Stage 2 – Building an online database Given images of
a new person looking directly into the camera, the closest eye in the offline
database is retrieved and then serves as an initial guess as to the eye
parameters in the new image. These parameters are then adapted to provide a
more accurate estimation. Figure 3 – Eyes from the online database
Stage 3 – Runtime eye Localization At runtime, the
parameters of the eyes in the video are estimated by matching the image to
the eyes of the person when looking straight. The illumination is corrected,
and a replacement is performed. Figure 4 – Example for the Enlightment Adjusting+Feathering procedure
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