4 datasets found

The dataset used for testing the HandVoxNet approach for 3D hand shape and pose estimation from a single depth map.

A hand, which is an articulated object, is composed of six local parts: the palm and five independent fingers.

The NYU Hand Pose Dataset comprises 70,000 images captured with a depth sensor in VGA resolution accompanied by ground truth annotations of positions of hand joints.

A benchmark for evaluating hand pose tracking/estimation algorithms on passive stereo. Unlike existing benchmarks, it contains both stereo images from a binocular stereo camera...