Exact(60)
Third row, raw depth images.
c Depth saliency: only depth images are salient.
Depth images after downsampling are fed into the model.
The first line shows the original depth images.
Finally, the expression-removed depth images are constructed using FNeutral.
In this case, only depth images are salient.
In order to exploit useful information from depth images, we use the deep network to extract efficient anthropometric features from processed depth images which also have three channels.
Although they provide a rich source of information, depth images are sensitive to background noise.
The fine-tuning task takes the labelled depth images as inputs, while the supervision transfer task requires the paired RGB and depth images.
We show detailed experimental results for supervision transfer from RGB to depth images compared with fine-tuning with depth images, as shown in Fig. 13.
Figure 7 Two depth images with different sizes which are used in the method.
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