An Evaluation Method of Light Strip Center Detection Algorithm Based on Line Structured Light Vision
Paper
| Paper/Presentation Title | An Evaluation Method of Light Strip Center Detection Algorithm Based on Line Structured Light Vision |
|---|---|
| Presentation Type | Paper |
| Authors | Miao, Jianwei, Zhao, Jinghe, Tan, Qingchang, Jiang, Bo, Liu, Siyuan and Taylor, Francis Henry |
| Journal or Proceedings Title | Proceedings of the 4th International Conference on Cyber Security Intelligence and Analytics (CSIA 2022) |
| Journal Citation | 125, pp. 71-79 |
| Number of Pages | 9 |
| Year | 2022 |
| Publisher | Springer |
| Place of Publication | Switzerland |
| ISBN | 9783030978730 |
| 9783030978747 | |
| Digital Object Identifier (DOI) | https://doi.org/10.1007/978-3-030-97874-7_9 |
| Web Address (URL) of Paper | https://link.springer.com/chapter/10.1007/978-3-030-97874-7_9 |
| Web Address (URL) of Conference Proceedings | https://link.springer.com/book/10.1007/978-3-030-97874-7 |
| Conference/Event | 4th International Conference on Cyber Security Intelligence and Analytics (CSIA 2022) |
| Event Details | 4th International Conference on Cyber Security Intelligence and Analytics (CSIA 2022) Delivery In person Event Date 27 to end of 30 Jun 2022 Event Location Denver, United States |
| Abstract | In the online structured light measurement system, the center points of the light stripe are the main information that characterizes the surface topography of the measured object, and the light strip center detection algorithm directly affects the measurement accuracy of the structured light measurement system. This paper analyzes the typical sub-pixel light strip center detection algorithms, and establishes an evaluation method of light strip center detection algorithm for the straight light stripe on the plane. In the experiment, the evaluation method proposed in this paper is used to evaluate the accuracy and robustness of the center of gravity method, the Gauss method and the Steger algorithm. |
| Keywords | Line structured light vision; Light strip center detection algorithm; Accuracy evaluation method |
| Contains Sensitive Content | Does not contain sensitive content |
| ANZSRC Field of Research 2020 | 400602. Data communications |
| Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
| Series | Lecture Notes on Data Engineering and Communications Technologies |
| Byline Affiliations | Changchun Guanghua University, China |
| Jilin University, China | |
| University of Southern Queensland |
https://research.usq.edu.au/item/z58z9/an-evaluation-method-of-light-strip-center-detection-algorithm-based-on-line-structured-light-vision
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