TY - GEN
T1 - A Size Measurement Algorithm Based on Multiple RGB-D Cameras and MA-PNV
AU - Zhang, Jinbo
AU - Zhang, Yutong
AU - Yan, Ding
AU - Shan, Jiayuan
AU - Wang, Zhaodi
AU - Wu, Pingping
N1 - Publisher Copyright:
© 2021 ACM.
PY - 2021/1/28
Y1 - 2021/1/28
N2 - Fast size measurement is widely used in many fields, such as airport security inspection, logistics classification and so on. In order to reduce the measurement error and enhance the measurement speed, we design a fast size measurement system based on multiple RGB-D cameras and a main axis calculation mechanism based on the distribution of pointcloud normal vectors (MA-PNV) is proposed. In our algorithm, the pointcloud of the object is acquired through coordinate transformation and background subtraction. After statistical outlier removal, the normal vectors of the pointcloud is obtained by the local surface fitting. Then the main axis is calculated based on MA-PNV and size measurement of the object is accomplished. Experimental evaluation is carried out on objects with different shapes, colors and under different illumination conditions. The results illustrate that our algorithm is effective for fast size measurement.
AB - Fast size measurement is widely used in many fields, such as airport security inspection, logistics classification and so on. In order to reduce the measurement error and enhance the measurement speed, we design a fast size measurement system based on multiple RGB-D cameras and a main axis calculation mechanism based on the distribution of pointcloud normal vectors (MA-PNV) is proposed. In our algorithm, the pointcloud of the object is acquired through coordinate transformation and background subtraction. After statistical outlier removal, the normal vectors of the pointcloud is obtained by the local surface fitting. Then the main axis is calculated based on MA-PNV and size measurement of the object is accomplished. Experimental evaluation is carried out on objects with different shapes, colors and under different illumination conditions. The results illustrate that our algorithm is effective for fast size measurement.
KW - MA-PNV
KW - RGB-D cameras
KW - Size measurement
KW - pointcloud stitching
UR - http://www.scopus.com/inward/record.url?scp=85105996983&partnerID=8YFLogxK
U2 - 10.1145/3448734.3450817
DO - 10.1145/3448734.3450817
M3 - Conference contribution
AN - SCOPUS:85105996983
T3 - ACM International Conference Proceeding Series
BT - Proceedings of the 2nd International Conference on Computing and Data Science, CONF-CDS 2021
PB - Association for Computing Machinery
T2 - 2nd International Conference on Computing and Data Science, CONF-CDS 2021
Y2 - 28 January 2021 through 30 January 2021
ER -