A calibration method of computer vision system based on dual attention mechanism

作者：

Highlights：

• The dual attention model realizes object calibration in complex background.

• The dual attention mechanism can be used to calibrate and identify the system.

• The proposed algorithm makes the calibration error less than 0.1%.

• The algorithm is used to identify and calibrate parking space.

摘要

•The dual attention model realizes object calibration in complex background.•The dual attention mechanism can be used to calibrate and identify the system.•The proposed algorithm makes the calibration error less than 0.1%.•The algorithm is used to identify and calibrate parking space.

论文关键词：Dual attention mechanism,ResNet,Feature extraction,Zhang Zhengyou system calibration

论文评审过程：Received 6 November 2019, Revised 4 September 2020, Accepted 24 September 2020, Available online 30 September 2020, Version of Record 19 October 2020.

论文官网地址：https://doi.org/10.1016/j.imavis.2020.104039