A novel capacity expansion and recognition acceleration method for dot-dispersing coded targets in photogrammetry

作     者：Wang, Meng Guo, Yuhan Wang, Qiang Liu, Yang Liu, Jiaxin Song, Xin Wang, Guo Zhang, Hu 

作者机构：State Ocean Adm South China Sea Environm Monitoring Ctr Gungzhou 510300 Peoples R China Tianjin Normal Univ Sch Geog & Environm Sci Tianjin 300387 Peoples R China China Univ Min & Technol Beijing Sch Geosci & Mapping Engn Beijing 100083 Peoples R China Henan Univ Engn Inst Civil Engn Zhengzhou 451191 Peoples R China 

出 版 物：《MEASUREMENT SCIENCE AND TECHNOLOGY》 (Meas. Sci. Technol.)

年 卷 期：2022年第33卷第12期

页      面：125016-125016页

核心收录：

学科分类：08[工学] 080401[工学-精密仪器及机械] 0804[工学-仪器科学与技术] 081102[工学-检测技术与自动化装置] 0811[工学-控制科学与工程] 

基　　金：National Natural Science Foundation of China Henan Provincial Science and Technology Research Project 

主　　题：coded target coding capacity photogrammetry cross-ratio P-2-Invariant 

摘      要：In close-range photogrammetry, some improved designs have been developed to increase the coding capacity of Schneider-like concentric circular coded targets. However, another typical type, Hattori-like dot-dispersing coded targets (HCTs), is rarely expanded. In this paper, we give our detailed solution to recognize a kind of non-public HCT used in video-simultaneous triangulation and resection systems. Then, an advanced HCT (AHCT) with multiple templates and simplified P-2-Invariant is proposed, which achieves capacity expansion and recognition acceleration. First, the cross-ratio invariant is used in template recognition, and then the affine transformation is used in decoding. During the template recognition process, multiple templates are designed to expand the coding capacity, and a simplified P-2-Invariant is adopted to accelerate the recognition. Experiments are carried out with different shooting angles ranging from 0 degrees to 80 degrees, with smaller coded targets, with mixed coded targets of different sizes and with large outdoor scenes, and the results show that AHCTs can not only preserve the stability of the HCTs, but also achieve the capacity growth of coded targets at a faster recognition rate by 14.6%. The AHCTs with large capacity can be applied in scenarios with a large size or complex structure, and the acceleration advantage can be considered in real-time dynamic domains.