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  1. Construct a code to classify skin or non-skin based on Bayesian decision rule by finding a pmf of likelihood and defining a prior. Using the trained classifier compute precision and recall. a. Use R channel values to classify as skin or non-skin b. Use all channel(R/G/B) values to classify as skin or non-skin. They are NOT necessarily independent!

  2. Construct a code to classify skin or non-skin based on pdf for Gaussian model fitting and Compute precision and recall. a. Use R channel values to classify as skin or non-skin b. Use all channel(R/G/B) values to classify as skin or non-skin. Again, they are NOT necessarily independent!

  3. Change a prior for skin and non-skin classes and Analyze the result about above 4 cases(1-a, 1-b, 2-a, 2-b).

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Face Detection using basic probability distribution

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