Slide 3
Slide 3 text
What’s happening?
1. Grab color image from camera
2. Use K-Means to do color
clustering, and find the biggest
color cluster (hand)
3. Get the contour of the hand
4. Take the Discrete Fourier
Transform of the contour to
obtain a sampled,
scale-invarient shape
descriptor
5. Match the descriptor against a
prepared set of 4 (A-D) ground
truth samples using linear
interpolation
6. The best match (within a
certain margin of error) is
returned