人工智能
质心
计算机科学
约束(计算机辅助设计)
计算机视觉
激光扫描
分割
直线(几何图形)
叠加原理
算法
激光器
数学
光学
物理
几何学
数学分析
作者
Yuanyuan Wang,Rui Wang,Xiaofeng Ren,Junan Lei
出处
期刊:Cmes-computer Modeling in Engineering & Sciences
[Computers, Materials and Continua (Tech Science Press)]
日期:2023-01-01
卷期号:136 (2): 1951-1972
标识
DOI:10.32604/cmes.2023.026112
摘要
The dense and accurate measurement of 3D texture is helpful in evaluating the pavement function. To form dense mandatory constraints and improve matching accuracy, the traditional binocular reconstruction technology was improved threefold. First, a single moving laser line was introduced to carry out global scanning constraints on the target, which would well overcome the difficulty of installing and recognizing excessive laser lines. Second, four kinds of improved algorithms, namely, disparity replacement, superposition synthesis, subregion segmentation, and subregion segmentation centroid enhancement, were established based on different constraint mechanism. Last, the improved binocular reconstruction test device was developed to realize the dual functions of 3D texture measurement and precision self-evaluation. Results show that compared with traditional algorithms, the introduction of a single laser line scanning constraint is helpful in improving the measurement's accuracy. Among various improved algorithms, the improvement effect of the subregion segmentation centroid enhancement method is the best. It has a good effect on both overall measurement and single point measurement, which can be considered to be used in pavement function evaluation.
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