2015
Human-pose estimation with neural-network realization
IROS 2015poster
Previous studies on human-pose estimation rely on the design of factors to represent underlying probability distributions. However, designing factors is laborious and yet, the designed factors may not represent the underlying probability distributions. In this paper, we propose to use a neural netwo…