DeepPrior++: Improving Fast and Accurate 3D Hand Pose Estimation

28 Aug 2017Markus OberwegerVincent Lepetit

DeepPrior is a simple approach based on Deep Learning that predicts the joint 3D locations of a hand given a depth map. Since its publication early 2015, it has been outperformed by several impressive works... (read more)

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Evaluation results from the paper


Task Dataset Model Metric name Metric value Global rank Compare
Hand Pose Estimation ICVL Hands DeepPrior++ Average 3D Error 8.1 # 5
Hand Pose Estimation MSRA Hands DeepPrior++ Average 3D Error 9.5 # 4
Hand Pose Estimation NYU Hands DeepPrior++ Average 3D Error 12.3 # 4