In conclusion, DTP can generate more accurate and natural full-body poses and obtain more robustness to the occlusion noise. These findings show that DTP is effective in modeling the mapping from sparse tracker measurements to full-body pose and in solving the occlusion problem of VIVE Tracker measurements.
May 23, 2024
Oct 22, 2024 · This paper introduces Deep Tracker poser (DTP): a method for real-time full-body pose estimation in VR. This task is difficult due to the ...
May 23, 2024 · This paper introduces Deep Tracker poser (DTP): a method for real-time full-body pose estimation in VR. This task is difficult due to the ...
This paper introduces Deep Tracker poser (DTP): a method for real-time full-body pose estimation in VR. This task is difficult due to the ambiguous mapping from ...
Nov 3, 2023 · In this article, we introduce SparsePoser, a novel deep learning-based solution for reconstructing a full-body pose from a reduced set of six tracking devices.
In this paper we introduce DIP: Deep Inertial Poser, the first deep learning method capable of estimating 3D human body pose from only 6 IMUs in real time.
Missing: DTP: | Show results with:DTP:
A novel deep neural network capable of reconstructing human full body pose in real-time from 6 Inertial Measurement Units (IMUs) worn on the user's body
DTP-RNN model composed of two layers of bidirectional LSTMs
www.researchgate.net › figure › DTP-RN...
For virtual reality (VR) applications, estimating full-body pose in real-time is becoming increasingly popular. Previous works have reconstructed full-body ...
In this article, we introduce SparsePoser, a novel deep learning-based solution for reconstructing a full-body pose from a reduced set of six tracking devices.
Missing: DTP: | Show results with:DTP:
Apr 4, 2024 · Quantitative and qualitative results indicate that the proposed method can accurately reconstruct full body poses from sparse motion signals in ...
Missing: DTP: | Show results with:DTP: