Titlebook: Virtual Reality and Augmented Reality; 15th EuroVR Internat Patrick Bourdot,Sue Cobb,Didier Stricker Conference proceedings 2018 Springer N

Ascendancy

泥土謙卑

0302-9743 held in London, UK, in October 2018.. The 9 full papers and 6 short papers presented were carefully reviewed and selected from 39 submissions. The papers are organized in 5topical sections: vision-based motion tracking; 3D acquisition and 3D reconstruction; haptics and 3D audio; perception and cogni

legitimate

Universal Web-Based Tracking for Augmented Reality Applicationsications and therefore help to satisfy the growing demand for them. To this extent, we discuss the implementation of a feature tracking system using WebAssembly and evaluate its real-time capabilities on a wide range of devices and operating systems. Additionally, we also demonstrate a simple AR application making use of our tracker.

CLIFF

上釉彩

Structure-Aware 3D Hand Pose Regression from a Single Depth Images. CNN-based learning methods achieve the state-of-the-art accuracy by directly regressing 3D pose from a single depth image. However, the 3D pose estimated by these methods is coarse and kinematically unstable due to independent learning of sparse joint positions. In this paper, we propose a novel

馬籠頭

Optometrist

Fully Automatic Multi-person Human Motion Capture for VR Applicationslity (VR) applications. In this paper, we propose a novel temporally stable solution for this problem which can be directly employed in VR practical applications. Our algorithm automatically estimates the number of persons in the scene, generates their corresponding person specific 3D skeletons, and

exigent

HDM-Net: Monocular Non-rigid 3D Reconstruction with Learned Deformation Modelpondences and rely on motion and deformation cues, or assume a highly accurate reconstruction (referred to as a template) of at least a single frame given in advance and operate in the manner of non-rigid tracking. Accurate computation of dense point tracks often requires multiple frames and might b

adhesive

濃縮

KinesTouch: 3D Force-Feedback Rendering for Tactile Surfacese-feedback device: compliance, friction, fine roughness, and shape. We present the design and implementation of a corresponding set of haptic effects as well as a proof-of-concept setup. Regarding friction in particular, we propose a novel effect based on large lateral motion that increases or dimin