Exact(8)
Fig. 13 Face examples: some pose examples for the dataset acquired in the lab.
The AAMs exploit a set of face examples in order to extract a statistical model.
Figure 7 shows several face examples used to train the backpropagation neural network used in this algorithm.
The rate of classification subsequent to the training is more than 92%. Figure 31 shows several face examples, and Table 4 presents experimental results.
AAM uses appearance (texture g) and geometry (mesh or shape s) features that are learned from face examples to fit the model to still images.
However, it can be empirically observed that, in the deeper nodes of the boosting process, the non-face examples collected by bootstrapping are in fact very similar to the face examples, and the error rate of those feature-based weak classifiers is very close to 50%.
Similar(52)
Indeed, let x be an occluded face example of type and suppose that the main cascade rejects it at level j because H j (x)<α j.
Smyth used some fairly in-your-face examples of advertiser-sponsored channels in the US including one for the NFL and one sponsored by General Motors.
The first set was comprised of five male composite faces (examples of faces: Fig. 1B left side).
To increase the perceptual differences between images, a second set included three male and three female composite faces (examples of faces: Fig. 1C, top).
Image set 1 consisted of five male face identities (examples of faces: Fig. 1B, left side), and image set 2 consisted of three male and three female face identities (examples of faces: Fig. 1C, top).
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