OＲB-feature Based Augmented Ｒeality under Complex Scenes
Aiming to the development tools for Augmented Ｒeality，AＲtoolkit，and to obtain a particular coding region of interest，Marker Cards and the corner feature are used to calculate the position of the camera. But the accuracy rate is low，and viewing angle and scenes are stirctly limited. Based on the si...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Harbin University of Science and Technology Publications
2018-02-01
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| Series: | Journal of Harbin University of Science and Technology |
| Subjects: | |
| Online Access: | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=1501 |
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| Summary: | Aiming to the development tools for Augmented Ｒeality，AＲtoolkit，and to obtain a particular coding
region of interest，Marker Cards and the corner feature are used to calculate the position of the camera. But the
accuracy rate is low，and viewing angle and scenes are stirctly limited. Based on the simultaneous localization and
mapping and random sample consensus algorithm，this paper studies how to use instant space location algorithm to
accurately calculate the spatial coordinates of camera external parameters and image sequence OＲB( oriented fast
and rotated brief) feature point set. Then random sampling and poster frame are used to obtain two dimensional
coordinates of region of interest to locate. For these restrictions，a new method is proposed in this paper by
integrating SLAM and ＲANSAC to obtain a particular coding region of interest and calculate the position of the
camera. Experiments show that the method can solve the limitation of viewing angle and scenes and improve the
accuracy of calculate the position of the camera. The degree of improvement is up to 90%，providing a strong
guarantee render 3D augmented reality |
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| ISSN: | 1007-2683 |