A survey of deep learning methods and datasets for hand pose estimation from hand-object interaction images

Taeyun Woo, Wonjung Park, Woohyun Jeong, Jinah Park

Abstract: Highlights•Deep learning is effectively used for estimating hand pose from images.•The correlation between a hand and an object helps in estimating hand-object pose.•Hand model helps estimate hand shape, but it restricts within the model’s prior.•Implicit function methods have emerged in hand-object pose estimation.