DeepMix: A Real-time Adaptive Virtual Content Registration System with Intelligent Detection

Yongjie Guan, Xueyu Hou, Tao Han, Shenmin Zhang
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引用次数: 2

Abstract

This demo proposes a novel virtual content registration system (DeepMix) for MR applications, which integrates state-of-the-art computer vision technology and allows real-time interaction between virtual contents and arbitrary real objects in the physical environment for MR devices. DeepMix effectively utilizes different sensors on MR devices to measure the dimension and spatial location of real objects in the physical environment and improves the quality of experience (QoE) of users adaptively under various situations. Compared with state-of-the-art virtual content registration methods, DeepMix is a light-weight registration system with more flexibility, higher intelligence, and stronger adaptability.
DeepMix:一个具有智能检测的实时自适应虚拟内容注册系统
该演示提出了一种用于MR应用的新型虚拟内容注册系统(DeepMix),该系统集成了最先进的计算机视觉技术,并允许虚拟内容与MR设备物理环境中的任意真实对象之间的实时交互。DeepMix有效地利用MR设备上的不同传感器来测量物理环境中真实物体的尺寸和空间位置,在各种情况下自适应地提高用户的体验质量(QoE)。与目前最先进的虚拟内容注册方法相比,DeepMix是一种更灵活、更智能、适应性更强的轻量级注册系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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