Long short-term memory (LSTM) has transformed both machine learning and
neurocomputing fields. According to several online sources, this model has improved …

Quantifying movement is critical for understanding animal behavior. Advances in computer
vision now enable markerless tracking from 2D video, but most animals move in 3D. Here …

Prediction of complex fluid flows from sparse and noisy sensor measurements is widely
applied to many engineering fields. In the present study, a novel compressed sensing …

Mixed reality environments give better chances to provide constant help to the people in
need. Applied there artificial intelligence models will provide ad hoc monitoring measures …

We propose a scalable neural network framework to reconstruct the 3D mesh of a human
body from multi-view images, in the subspace of the SMPL model. Use of multi-view images …

Optical motion capture systems have been used intensively to obtain human body poses.
However, there still exist several problems. First is the dislocation problem caused by joints …

Abstract 3D human pose estimation is frequently seen as the task of estimating 3D poses
relative to the root body joint. Alternatively, we propose a 3D human pose estimation method …

Human beings easily reconstruct the 3D pose of a human from a 2D image, but 3D human
pose reconstruction (HPR) continues to exist as a challenging task for machines. Traditional …

Abstract 3D human pose estimation from 2D joints of an image is a worthwhile and
challenging research topic. Since a specific 2D pose could be projected from various 3D …

In order to generate 3D virtual human animation with smoother actions and richer and more
vivid expressions, this article proposes a system based on dual cameras to synchronously …