The system starts with a generic 3D “synthetic face,” the basic parameters of which are obtained from a number of 3D images of actual human faces. When a 2D image of a specific person is ...

Initially, the 2D and 3D backbones predict 2D and 3D keypoints of both hands and objects from the RGB-D images. Keypoints refer to the meaningful locations in the input images that help describe ...

Scientists from Carnegie Mellon University have developed a cheap way to sense humans through walls by using two Wi-Fi routers to image a human's 3D shape and pose.