Dense human pose estimation aims at mapping all human pixels of an RGB image to the 3D surface of the human body. DensePose-RCNN is implemented in the Detectron framework and is powered by Caffe2. In ...
This project implements a real-time 3D human pose estimation system using multiple ZED cameras. It captures video streams, detects human joints in 2D, and reconstructs them in 3D space. The system ...
Abstract: The lifting-based methods have dominated monocular 3D human pose estimation by leveraging detected 2D poses as intermediate representations. The 2D component of the final 3D human pose ...
Researchers at Tokyo Institute of Technology (Tokyo Tech) working in collaboration with colleagues at Carnegie Mellon University, the University of St Andrews and the University of New South Wales ...
An essential technique in computer vision, 3D human posture estimation allows for the monitoring and identification of human body joints in pictures and films. Applications needing accurate body ...
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Researchers have developed a wrist-worn device for 3D hand pose estimation. The system consists of a camera that captures images of the back of the hand, and is supported by a neural network called ...
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