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Advanced Visual SLAM and Image Segmentation Techniques for Augmented Reality

Advanced Visual SLAM and Image Segmentation Techniques for Augmented Reality

Yirui Jiang, Trung Hieu Tran, Leon Williams
Copyright: © 2022 |Volume: 6 |Issue: 1 |Pages: 28
ISSN: 2473-537X|EISSN: 2473-5388|EISBN13: 9781683183068|DOI: 10.4018/IJVAR.307063
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MLA

Jiang, Yirui, et al. "Advanced Visual SLAM and Image Segmentation Techniques for Augmented Reality." IJVAR vol.6, no.1 2022: pp.1-28. http://doi.org/10.4018/IJVAR.307063

APA

Jiang, Y., Tran, T. H., & Williams, L. (2022). Advanced Visual SLAM and Image Segmentation Techniques for Augmented Reality. International Journal of Virtual and Augmented Reality (IJVAR), 6(1), 1-28. http://doi.org/10.4018/IJVAR.307063

Chicago

Jiang, Yirui, Trung Hieu Tran, and Leon Williams. "Advanced Visual SLAM and Image Segmentation Techniques for Augmented Reality," International Journal of Virtual and Augmented Reality (IJVAR) 6, no.1: 1-28. http://doi.org/10.4018/IJVAR.307063

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Abstract

Augmented reality can enhance human perception to experience a virtual-reality intertwined world by computer vision techniques. However, the basic techniques cannot handle complex large-scale scenes, tackle real-time occlusion, and render virtual objects in augmented reality. Therefore, this paper studies potential solutions, such as visual SLAM and image segmentation, that can address these challenges in the augmented reality visualizations. This paper provides a review of advanced visual SLAM and image segmentation techniques for augmented reality. In addition, applications of machine learning techniques for improving augmented reality are presented.

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