3D Human Pose Estimation on a 2D Image using Convolutional Neural Networks and Sparse Coding

Message:
Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
There are challenges such as depth perception and self-occlusion, in the field of 3D human pose estimation and reconstruction which obstructs precise estimation of body joints. In this paper, we first extract human pose by focusing on 2D ground-truth using sparse coding and. In the second approach, we use a learning-based Convolutional Neural Networks using sparse coding and a model based rectifier to extract the estimated pose. Pose estimation by proposedmethod has reduced the mean error of the reconstruction in comparison with the state of the artworks.
Language:
Persian
Published:
Machine Vision and Image Processing, Volume:6 Issue: 2, 2020
Pages:
27 to 41
https://www.magiran.com/p2096506