Heteroscedastic Conditional Ordinal Random Fields for Pain Intensity Estimation from Facial Images

22 Jan 2013 Ognjen Rudovic Maja Pantic Vladimir Pavlovic

We propose a novel method for automatic pain intensity estimation from facial images based on the framework of kernel Conditional Ordinal Random Fields (KCORF). We extend this framework to account for heteroscedasticity on the output labels(i.e., pain intensity scores) and introduce a novel dynamic features, dynamic ranks, that impose temporal ordinal constraints on the static ranks (i.e., intensity scores)... (read more)

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