Pose estimation assesses the 6D pose of one or many objects in a scene. Considerable attention has been dedicated to advancement algorithms capable identifying orientation multiple within scene cases where partial occlusion occurs. However, only few works focus on developing parallelizable hypotheses-based estimator that naturally handles object symmetries. These should also tackle some issues:...

Although achieving significant improvement on pose estimation, the major drawback is that most top-performing methods tend to adopt complex architecture and spend large computational cost achieve higher performance. Due edge device’s limited resources, its are hard maintain fast inference speed in practice. To address this issue, we proposed lightweight human estimation method high performance ...

Hand pose estimation from a single depth image is an essential topic in computer vision and human computer interaction. Despite recent advancements in this area promoted by convolutional neural network, accurate hand pose estimation is still a challenging problem. In this paper we propose a Pose guided structured Region Ensemble Network (Pose-REN) to boost the performance of hand pose estimatio...

Human pose estimation finds its application in an extremely wide domain and is therefore never pointless. We propose this paper a new approach that, unlike any prior one that we are aware of, bypasses the 2D keypoint detection step based on which 3D estimated, thus Our motivation rather straightforward: vulnerable to occlusions out-of-image absences, case errors propagate recovery deteriorate r...

6D pose estimation of rigid objects from RGB-D images is crucial for object grasping and manipulation in robotics. Although RGB channels the depth (D) channel are often complementary, providing respectively appearance geometry information, it still non-trivial on how to fully benefit two cross-modal data. From simple yet new observation, when an rotates, its semantic label invariant while keypo...

Tracking is a necessity for interactive virtual environments. Marker-based tracking solutions involve the placement of fiducials in a rigid configuration on the object(s) to be tracked, called a tracking probe. The realization that tracking performance is linked to probe performance necessitates investigation into the design of tracking probes for proponents of marker-based tracking. A challeng...

In this paper we present a novel approach for the parameterization of the trajectory of a moving platform, which facilitates the development of real-time pose-estimation methods. The key idea of the proposed approach is the decoupling of the parameterization of the trajectory estimate from the parameterization of the error in this estimate. Specifically, we represent the trajectory estimate as ...