A mapping of visual SLAM algorithms and their applications in augmented reality

被引：21

作者：

Mucheroni Covolan, Joao Pedro ^{[1
]}

Sementille, Antonio Carlos ^{[1
]}

Rodrigues Sanches, Silvio Ricardo ^{[2
]}

机构：

[1] Univ Estadual Paulista Julio de Mesquita Filho UN, Dept Comp, Bauru, SP, Brazil

[2] Univ Tecnol Fed Parana UTFPR, Dept Acad Comp, Cornelio Procopio, Brazil

来源：

2020 22ND SYMPOSIUM ON VIRTUAL AND AUGMENTED REALITY (SVR 2020) | 2020年

关键词：

visual SLAM; augmented reality; visual SLAM techniques; TRACKING; RECONSTRUCTION; ODOMETRY;

D O I：

10.1109/SVR51698.2020.00019

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The term visual SLAM defines the problem of build a map of an environment and perform location, simultaneously. In the augmented reality experience, we can apply SLAM techniques to insert virtual elements in the user's real-world view according to their observation point (location) and environment structure (mapping). In this work, we investigated the main algorithms of visual SLAM, and its applications in augmented reality. Here, we describe the key features of these algorithms and two taxonomies for SLAM techniques are proposed.

引用

页码：20 / 29

页数：10

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