Optimal view selection method based on object detection

Fanwu Meng*, Yichen Xu, Zhipeng Huang, Lizhong Wang

*此作品的通讯作者

科研成果: 期刊稿件 › 会议文章 › 同行评审

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摘要

Industrial parts detection are often studied in three-dimensional space, because of subparts occlusion, the choice of view has a great impact on the detection results. In this paper, the method of object detection combined with the 3D CAD model is proposed, the object detection model based on convolutional neural network was used to screen the visual angle, so as to eliminate the influence caused by the occlusion of parts, which provides a general method for the selection of the optimal view.

源语言英语
文章编号32141
期刊Journal of Physics: Conference Series
卷1650
期3
DOI
出版状态已出版 - 29 10月 2020
活动2020 International Conference on Applied Physics and Computing, ICAPC 2020 - Ottawa, 加拿大
期限: 12 9月 2020 → 13 9月 2020

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Meng, F., Xu, Y., Huang, Z., & Wang, L. (2020). Optimal view selection method based on object detection. Journal of Physics: Conference Series, 1650(3), 文章 32141. https://doi.org/10.1088/1742-6596/1650/3/032141