2022
DOI: 10.3389/frai.2022.759255
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Single Shot Corrective CNN for Anatomically Correct 3D Hand Pose Estimation

Abstract: Hand pose estimation in 3D from depth images is a highly complex task. Current state-of-the-art 3D hand pose estimators focus only on the accuracy of the model as measured by how closely it matches the ground truth hand pose but overlook the resulting hand pose's anatomical correctness. In this paper, we present the Single Shot Corrective CNN (SSC-CNN) to tackle the problem of enforcing anatomical correctness at the architecture level. In contrast to previous works which use post-facto pose filters, SSC-CNN pr… Show more

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Cited by 2 publications
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References 53 publications
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