V2v-posenet: Voxel-to-voxel prediction network for accurate 3d hand and human pose estimation from a single depth map
Most of the existing deep learning-based methods for 3D hand and human pose estimation
from a single depth map are based on a common framework that takes a 2D depth map and …
from a single depth map are based on a common framework that takes a 2D depth map and …
[PDF][PDF] Total capture: 3D human pose estimation fusing video and inertial sensors.
We present an algorithm for fusing multi-viewpoint video (MVV) with inertial measurement
unit (IMU) sensor data to accurately estimate 3D human pose. A 3-D convolutional neural …
unit (IMU) sensor data to accurately estimate 3D human pose. A 3-D convolutional neural …
Real-time 3D hand pose estimation with 3D convolutional neural networks
In this paper, we present a novel method for real-time 3D hand pose estimation from single
depth images using 3D Convolutional Neural Networks (CNNs). Image-based features …
depth images using 3D Convolutional Neural Networks (CNNs). Image-based features …
Fusing visual and inertial sensors with semantics for 3d human pose estimation
We propose an approach to accurately estimate 3D human pose by fusing multi-viewpoint
video (MVV) with inertial measurement unit (IMU) sensor data, without optical markers, a …
video (MVV) with inertial measurement unit (IMU) sensor data, without optical markers, a …
Fusing information from multiple 2D depth cameras for 3D human pose estimation in the operating room
Purpose For many years, deep convolutional neural networks have achieved state-of-the-art
results on a wide variety of computer vision tasks. 3D human pose estimation makes no …
results on a wide variety of computer vision tasks. 3D human pose estimation makes no …
[HTML][HTML] Depth-based 3D human pose refinement: Evaluating the refinet framework
Abstract In recent years, Human Pose Estimation has achieved impressive results on RGB
images. The advent of deep learning architectures and large annotated datasets have …
images. The advent of deep learning architectures and large annotated datasets have …
Accurate and efficient 3d human pose estimation algorithm using single depth images for pose analysis in golf
Human pose analysis has been known to be an effective means to evaluate athlete's
performance. Marker-less 3D human pose estimation is one of the most practical methods to …
performance. Marker-less 3D human pose estimation is one of the most practical methods to …
3D articulated skeleton extraction using a single consumer-grade depth camera
Articulated skeleton extraction or learning has been extensively studied for 2D (eg, images
and video) and 3D (eg, volume sequences, motion capture, and mesh sequences) data …
and video) and 3D (eg, volume sequences, motion capture, and mesh sequences) data …
TRI-POSE-Net: Adaptive 3D human pose estimation through selective kernel networks and self-supervision with trifocal tensors
Accurate and flexible 3D pose estimation for virtual entities is a strenuous task in computer
vision applications. Conventional methods struggle to capture realistic movements; thus …
vision applications. Conventional methods struggle to capture realistic movements; thus …
Refinet: 3d human pose refinement with depth maps
Human Pose Estimation is a fundamental task for many applications in the Computer Vision
community and it has been widely investigated in the 2D domain, ie intensity images …
community and it has been widely investigated in the 2D domain, ie intensity images …