Moving Visual-Inertial Ordometry into Cross-platform Web for Markerless Augmented Reality

被引：0
|
作者：
Huang, Yakun [1 ]
Tan, Zhijie [1 ]
Qiao, Xiuquan [1 ]
Zhao, Tie [1 ]
Tian, Fenghua [1 ]
机构：
[1] Beijing Univ Posts & Telecomm, State Key Lab Networking & Switching Technol, Beijing, Peoples R China
来源：
2022 IEEE CONFERENCE ON VIRTUAL REALITY AND 3D USER INTERFACES ABSTRACTS AND WORKSHOPS (VRW 2022) | 2022年
关键词：
Computing methodologies; Computer graphics; Graphics systems and interfaces; Mixed/augmented reality; STATE;
D O I：
10.1109/VRW55335.2022.00163
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Widespread mobile AR implementation still suffers from the unique adaption for different mobile platforms. Enabling AR experience on the cross-platform web is a potential alternative and provides unified implementation. We reveal a lightweight VIO implementation on the web without any visual marker or cumbersome frameworks for AR services. The contributions include 1) designing a novel VIO architecture to balance the user experience and the efficiency; 2) optimizing a single-thread VIO algorithm to avoid the sophisticated multi-threading management and enhancing compatibility; 3) improving the dirty noise of IMU and developing efficient numerical libraries like SuiteSparse for the massive computation afford.
引用
收藏
页码：615 / 616
页数：2
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