End-to-end Hand Mesh Recovery from a Monocular RGB Image

ICCV 2019 Xiong ZhangQiang LiHong MoWenbo ZhangWen Zheng

In this paper, we present a HAnd Mesh Recovery (HAMR) framework to tackle the problem of reconstructing the full 3D mesh of a human hand from a single RGB image. In contrast to existing research on 2D or 3D hand pose estimation from RGB or/and depth image data, HAMR can provide a more expressive and useful mesh representation for monocular hand image understanding... (read more)

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