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We present MocapNET, a real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating from monocular color images. Our contributions include: (a) A novel and compact 2D pose NSRM representation. (b) A human body orientation classifier and an ensembl…
This repository provides a solution for estimating 3D positions using feature-based detection and deep learning model integrated with OpenCV's Deep Neural Network (DNN) and the Robot Operating System (ROS).
Exploring the use of Adversarial Constrained Autoencoder Interpolation (ACAI) to improve the quality of latent space for 3D human pose representation using the h36m dataset.