3D vision overcomes many problems of 2D vision

2D vision could be used in unstructured environment as well with the aid of advanced image processing algorithms to get around complications caused by varying illumination and shading conditions. The shading differences can make face recognition difficult even for humans.
In contrast, computer recognition using point cloud data from ToF sensors is largely unaffected by shading, since illumination is provided by the ToF sensor itself, and the depth measurement is extracted fro Robust 3D vision overcomes many problems of 2D vision, as the depth measurement can be used to easily separate foreground from background.
This is particularly useful for scene understanding, where the first step is to segment the subject of interest (foreground) from other parts of the image (background).
Gesture recognition, for example, involves scene understanding. Using distance as a discriminator, a tof sensor enables separation of the face, hands, and fingers from the rest of the image, so gesture recognition can be achieved with high confidence.

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