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Pain is a vital sign of human health and its automatic detection can be of crucial importance in many different contexts, including medical scenarios. While most available computer vision techniques are based on RGB, in this paper, we investigate the effect of combining RGB, depth, and thermal facial images for pain intensity level recognition. For this purpose, we extract energies released by facial pixels using a spatiotemporal filter. Experiments on a group of 12 elderly people applying thedoi:10.1109/cvprw.2015.7301341 dblp:conf/cvpr/IraniNSCEBLMPKP15 fatcat:3jekokhcuzbsnmr3dasaez3kvq