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Head pose implies a person's visual attention and interest. It plays an important role in many applications. Existing head pose estimation methods work in the original head pose space. However, the large number of head pose candidates in the space makes the estimation task quite challenging. In this paper, we propose a coarse-to-fine head pose estimation method by decomposing the original pose space...
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