3D human pose estimation from image using couple sparse coding
M Zolfaghari, A Jourabloo, SG Gozlou… - Machine vision and …, 2014 - Springer
Recent studies have demonstrated that high-level semantics in data can be captured using
sparse representation. In this paper, we propose an approach to human body pose …
sparse representation. In this paper, we propose an approach to human body pose …
Sports movements modification based on 2D joint position using YOLO to 3D skeletal model adaptation
A Rahati, K Rahbar - Journal of AI and Data Mining, 2022 - jad.shahroodut.ac.ir
Doing sports movements correctly is very important in ensuring body health. In this article,
an attempt has been made to achieve the movements correction through the usage of a …
an attempt has been made to achieve the movements correction through the usage of a …
Monocular 3D human pose estimation with a semi-supervised graph-based method
In this paper, a semi-supervised graph-based method for estimating 3D body pose from a
sequence of silhouettes, is presented. The performance of graph-based methods is highly …
sequence of silhouettes, is presented. The performance of graph-based methods is highly …
A review on graph-based semi-supervised sparse feature selection methods
R Sheikhpour - Applied and basic Machine intelligence research, 2022 - abmir.yazd.ac.ir
In some real-world applications, there is high-dimensional data which has led to many
computational challenges. Feature selection is an effective technique for data dimensionality …
computational challenges. Feature selection is an effective technique for data dimensionality …