3D human pose estimation from range images with depth difference and geodesic distance

•The 3D human pose estimation framework consists of a hybrid feature integrating depth difference with geodesic distance and superpixel based midlevel representation of range images.•The framework extracts componentwise cluster feature and sparse regression mapping to obtain skeleton joints.