Multi-layer skin detection and fused hand pose matching
A skin detection and skin technology, applied in the field of multi-layer skin detection and fusion gesture matching, can solve the problems of effective skin color, a lot of resources or time, achieve the effect of small false positive rate and avoid power problems
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[0029] Skin detection can be based on many design principles. One principle is that successful skin filtering is achieved by simultaneously using multiple lightness-invariant color models used by separate weak color-based classifiers. By stacking many weak color classifiers together, it is possible to design stronger color classifiers that better approximate the performance of an ideal skin detector. By using a luminance-invariant color model, it is possible to allow some tolerance to light variations while still removing as many background pixels as possible.
[0030] A second principle guiding the design of the skin detector may include a color model that is periodically computed or updated from previous models in skin pixels that match poses. This way may be simpler, more reliable and not as restrictive as other options. Because this may occur less frequently (e.g., on a second or sub-timescale) than histogram backprojection or dynamic motion model updates that typically ...
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