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Photorealistic Learned Landscapes for Augmented Reality

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Direct and Indirect vSLAM Fusion for Augmented Reality.

Mohamed Outahar^1,2, Guillaume Moreau³, Jean-Marie Normand¹

¹Ecole Centrale de Nantes, AAU UMR CNRS 1563, 44321 Nantes, France.

Journal of Imaging

|August 30, 2021

Summary

This summary is machine-generated.

This study fuses direct and indirect visual simultaneous localization and mapping (vSLAM) methods to improve augmented reality (AR) device accessibility. The fused algorithm enhances AR robustness and seamless scene transitions using affordable cameras.

Keywords:

augmented reality direct vSLAM fusion indirect vSLAM vSLAM

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Area of Science:

Computer Vision
Robotics
Human-Computer Interaction

Background:

Augmented reality (AR) adoption is limited by expensive hardware.
Visual simultaneous localization and mapping (vSLAM) offers a cost-effective solution using cameras.
Current vSLAM methods (direct and indirect) excel in specific environments but lack broad applicability.

Purpose of the Study:

To develop a novel vSLAM method fusing direct and indirect approaches.
To enhance AR system robustness and enable seamless transitions across diverse scenes.
To improve the accessibility of AR technology through cost-effective solutions.

Main Methods:

A fusion algorithm combining direct and indirect vSLAM methods was developed.
The proposed method was evaluated on three datasets.
Performance was benchmarked against state-of-the-art algorithms (LSD-SLAM, LCSD, ORBSLAM2) in trajectory planning and AR scenarios.

Main Results:

The fusion algorithm demonstrated comparable efficiency to leading methods in trajectory accuracy.
The method achieved high robustness and stability in AR augmentation quality.
Results indicate successful integration of direct and indirect vSLAM strengths.

Conclusions:

The proposed fusion algorithm offers a robust and versatile vSLAM solution for AR.
This approach enhances AR performance across various scene types.
The method contributes to making AR technology more accessible and widely usable.