Automated human pose estimation is evolving as an exciting research area in human
activity detection. It includes sophisticated applications such as malpractice detection in the …

Ultra-high precision motion sensing leveraging computer vision (CV) is a key technology in
many high-precision AR/VR applications such as precise industrial manufacture and image …

We propose a three-dimensional (3D) multimodal medical imaging system that combines
freehand ultrasound and structured light 3D reconstruction in a single coordinate system …

Various network compression methods, such as pruning and quantization, have been
proposed to synergistically reduce resource requirements. However, existing joint …

Hand pose is important to various applications and depth information is crucial for a reliable
3D keypoint detection. However, scopes of methods that rely on active depth cameras are …

Optical tracking of head pose via fiducial markers has been proven to enable effective
correction of motion artifacts in the brain during magnetic resonance imaging but remains …

To enrich 3D scenes, a real–virtual fusion-based integral imaging method is proposed. It
combines the Softargmax function with Gaussian weighting coefficients for sub-pixel feature …

Purpose Surgical robots effectively improve the accuracy and safety of surgical procedures.
Current optical-navigated oral surgical robots are typically developed based on binocular …

This work presents a novel approach to monocular 6D pose estimation of surgical
instruments in open surgery, addressing challenges such as object articulations …

Fiducial marker-based tracking is an effective method for pose estimation in coffined
environments, such as the International Thermonuclear Experimental Reactor. In this paper …