Paper
17 March 2015 Marker-less AR system based on line segment feature
Yusuke Nakayama, Hideo Saito, Masayoshi Shimizu, Nobuyasu Yamaguchi
Author Affiliations +
Proceedings Volume 9392, The Engineering Reality of Virtual Reality 2015; 93920I (2015) https://doi.org/10.1117/12.2083673
Event: SPIE/IS&T Electronic Imaging, 2015, San Francisco, California, United States
Abstract
We propose a method of marker-less AR which uses line segment feature. Estimating camera poses is important part of AR system. In most of conventional marker-less AR system, feature point matching between a model and its image is required for the camera pose estimation. However, a sufficient number of correspondence points is not always detected to estimate accurate camera poses. To solve this problem, we propose the use of line segments feature that can possibly be detected even when only a few feature points can be detected. In this paper, we propose a marker-less AR system that uses line segment features for camera pose estimation. In this system, we propose a novel descriptor of the line segment feature for achieving fast computation of the camera pose estimation. We also construct a database which contains a k-d tree of line feature and 3D line segment position for finding 2D-3D line segment correspondences from input image and the database, so that we can estimate the camera pose and perform AR. We demonstrated that our proposed method can estimate the camera pose and provide robust marker-less AR in the situation where point matching method fails.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yusuke Nakayama, Hideo Saito, Masayoshi Shimizu, and Nobuyasu Yamaguchi "Marker-less AR system based on line segment feature", Proc. SPIE 9392, The Engineering Reality of Virtual Reality 2015, 93920I (17 March 2015); https://doi.org/10.1117/12.2083673
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Cited by 1 scholarly publication.
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KEYWORDS
Cameras

Image segmentation

Autoregressive models

Databases

3D modeling

RGB color model

3D acquisition

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