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Ahmed Elhayek

2 accepted papers

2020

HandVoxNet: Deep Voxel-Based Network for 3D Hand Shape and Pose Estimation From a Single Depth Map

CVPR 2020poster

3D hand shape and pose estimation from a single depth map is a new and challenging computer vision problem with many applications. The state-of-the-art methods directly regress 3D hand meshes from 2D depth images via 2D convolutional neural networks, which leads to artefacts in the estimations due t…

Cited by 93PDF ↗Scholar ↗
2015

Efficient ConvNet-Based Marker-Less Motion Capture in General Scenes With a Low Number of Cameras

CVPR 2015poster

We present a novel method for accurate marker-less capture of articulated skeleton motion of several subjects in general scenes, indoors and outdoors, even from input filmed with as few as two cameras. Our approach unites a discriminative image-based joint detection method with a model-based generat…

Cited by 192Source ↗PDF ↗Scholar ↗