Abstract
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.
| Original language | English |
|---|---|
| Article number | 32141 |
| Journal | Journal of Physics: Conference Series |
| Volume | 1650 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 29 Oct 2020 |
| Event | 2020 International Conference on Applied Physics and Computing, ICAPC 2020 - Ottawa, Canada Duration: 12 Sept 2020 → 13 Sept 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), Article 32141. https://doi.org/10.1088/1742-6596/1650/3/032141