A review: Point cloud-based 3d human joints estimation
Joint estimation of the human body is suitable for many fields such as human–computer
interaction, autonomous driving, video analysis and virtual reality. Although many depth …
interaction, autonomous driving, video analysis and virtual reality. Although many depth …
Anr: Articulated neural rendering for virtual avatars
Abstract Deferred Neural Rendering (DNR) uses a three-step pipeline to translate a mesh
representation into an RGB image. The combination of a traditional rendering stack with …
representation into an RGB image. The combination of a traditional rendering stack with …
Modeling clothing as a separate layer for an animatable human avatar
D ** with Panoptic Refinement using Kernel Density Estimation for Mobile Robots
Reconstructing three-dimensional (3D) scenes with semantic understanding is vital in many
robotic applications. Robots need to identify which objects, along with their positions and …
robotic applications. Robots need to identify which objects, along with their positions and …
Synthesizing robot manipulation programs from a single observed human demonstration
Programming by Demonstration (PbD) lets users with little technical background program a
wide variety of manipulation tasks for robots, but it should be as intuitive as possible for …
wide variety of manipulation tasks for robots, but it should be as intuitive as possible for …
Articulated object tracking by high-speed monocular RGB camera
In recent years, tracking of articulated objects at high speed with monocular cameras has
been gaining attention. This study presents a novel method for high-frame-rate articulated …
been gaining attention. This study presents a novel method for high-frame-rate articulated …
3D joints estimation of human body using part segmentation
In this paper, we propose a novel method for 3D human joint estimation using part
segmentation, and introduce an application for size measurement based on the obtained …
segmentation, and introduce an application for size measurement based on the obtained …
Part segmentation for highly accurate deformable tracking in occlusions via fully convolutional neural networks
Successfully tracking the human body is an important perceptual challenge for robots that
must work around people. Existing methods fall into two broad categories: geometric …
must work around people. Existing methods fall into two broad categories: geometric …