Human pose estimation is a key step to action recognition. We propose a method of estimating 3D human poses from a single image, which works in conjunction with an existing 2D pose/joint detector. 3D ...

This is the offical Pytorch implementation of PersPose, which estimates the 3D positions of joints from individual images. Below is the overall framework. We design Perspective Encoding (PE) to encode ...

Abstract: In this paper, we propose a novel deep learning-based 3D underwater human pose estimator capable of providing metric 3D poses of scuba divers from stereo image pairs. While existing research ...

Welcome to the human-pose-estimation project! This application uses MediaPipe Pose and OpenCV for detecting human poses. You can track movements and analyze activities easily. Whether you are into ...

Recent breakthroughs in marker-less pose-estimation have driven a significant transformation in computer-vision approaches. Despite the emergence of state-of-the-art keypoint-detection algorithms, the ...

Kinematic and biomechanical analysis in monitoring human movement to assess athletes’ or patients’ motor control behaviors. Traditional motion capture systems provide high accuracy but are expensive ...

Abstract: D human pose estimation suffers from selfobscuration, 2D-to-3D pose mismatch, and computational complexity. 3D HPE based on complex environments is very challenging. Existing pose estimation ...

Movement can be an effective treatment for back pain. Try these beginner-friendly poses to get started. Movement can be an effective treatment for back pain. Try these beginner-friendly poses to get ...

Monocular depth estimation involves predicting scene depth from a single RGB image—a fundamental task in computer vision with wide-ranging applications, including augmented reality, robotics, and 3D ...