TY - JOUR
T1 - Optimal view selection method based on object detection
AU - Meng, Fanwu
AU - Xu, Yichen
AU - Huang, Zhipeng
AU - Wang, Lizhong
N1 - Publisher Copyright:
© 2020 Institute of Physics Publishing. All rights reserved.
PY - 2020/10/29
Y1 - 2020/10/29
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85096418377&partnerID=8YFLogxK
U2 - 10.1088/1742-6596/1650/3/032141
DO - 10.1088/1742-6596/1650/3/032141
M3 - Conference article
AN - SCOPUS:85096418377
SN - 1742-6588
VL - 1650
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
IS - 3
M1 - 32141
T2 - 2020 International Conference on Applied Physics and Computing, ICAPC 2020
Y2 - 12 September 2020 through 13 September 2020
ER -