Expressive body capture: 3d hands, face, and body from a single image
To facilitate the analysis of human actions, interactions and emotions, we compute a 3D
model of human body pose, hand pose, and facial expression from a single monocular …
model of human body pose, hand pose, and facial expression from a single monocular …
Self-supervised learning of motion capture
HY Tung, HW Tung, E Yumer… - Advances in neural …, 2017 - proceedings.neurips.cc
Current state-of-the-art solutions for motion capture from a single camera are optimization
driven: they optimize the parameters of a 3D human model so that its re-projection matches …
driven: they optimize the parameters of a 3D human model so that its re-projection matches …
Capturing hands in action using discriminative salient points and physics simulation
Hand motion capture is a popular research field, recently gaining more attention due to the
ubiquity of RGB-D sensors. However, even most recent approaches focus on the case of a …
ubiquity of RGB-D sensors. However, even most recent approaches focus on the case of a …
Motion capture of hands in action using discriminative salient points
Capturing the motion of two hands interacting with an object is a very challenging task due
to the large number of degrees of freedom, self-occlusions, and similarity between the …
to the large number of degrees of freedom, self-occlusions, and similarity between the …
The vitruvian manifold: Inferring dense correspondences for one-shot human pose estimation
Fitting an articulated model to image data is often approached as an optimization over both
model pose and model-to-image correspondence. For complex models such as humans …
model pose and model-to-image correspondence. For complex models such as humans …
Motion capture using joint skeleton tracking and surface estimation
This paper proposes a method for capturing the performance of a human or an animal from
a multi-view video sequence. Given an articulated template model and silhouettes from a …
a multi-view video sequence. Given an articulated template model and silhouettes from a …
Towards accurate marker-less human shape and pose estimation over time
Existing markerless motion capture methods often assume known backgrounds, static
cameras, and sequence specific motion priors, limiting their application scenarios. Here we …
cameras, and sequence specific motion priors, limiting their application scenarios. Here we …
Real-time simultaneous pose and shape estimation for articulated objects using a single depth camera
In this paper we present a novel real-time algorithm for simultaneous pose and shape
estimation for articulated objects, such as human beings and animals. The key of our pose …
estimation for articulated objects, such as human beings and animals. The key of our pose …
[KSIĄŻKA][B] The uncanny valley in games and animation
A Tinwell - 2014 - books.google.com
Advances in technology have enabled animators and video game designers to design
increasingly realistic, human-like characters in animation and games. Although it was …
increasingly realistic, human-like characters in animation and games. Although it was …
Fast articulated motion tracking using a sums of gaussians body model
We present an approach for modeling the human body by Sums of spatial Gaussians (SoG),
allowing us to perform fast and high-quality markerless motion capture from multi-view video …
allowing us to perform fast and high-quality markerless motion capture from multi-view video …