立体匹配是三维重建问题的重要环节,良好的稠密视差图是恢复立体三维结构的先决条件。针对区域立体匹配策略、固定的窗口大小内视差不一致与匹配信息不够丰富的问题,提出了一种新的相似性测度函数和方向权值算法。首先,通过新的相似性...立体匹配是三维重建问题的重要环节,良好的稠密视差图是恢复立体三维结构的先决条件。针对区域立体匹配策略、固定的窗口大小内视差不一致与匹配信息不够丰富的问题,提出了一种新的相似性测度函数和方向权值算法。首先,通过新的相似性测度函数建立两点的匹配代价;其次,在该点邻域内依据方向权值算法聚合窗口内的匹配代价;最后,通过WTA(Winner Take All)算法计算初始视差图,并根据左右一致性约束优化得到最终的稠密视差图。该方法较传统的区域匹配算法,匹配精度得到提高,算法运行效率也得到了提升,经实际验证该算法的稳健性较好。展开更多
Tunnel water inrush is one of the common geological disasters in the underground engineering construction.In order to effectively evaluate and control the occurrence of water inrush,the risk assessment model of tunnel...Tunnel water inrush is one of the common geological disasters in the underground engineering construction.In order to effectively evaluate and control the occurrence of water inrush,the risk assessment model of tunnel water inrush was proposed based on improved attribute mathematical theory.The trigonometric functions were adopted to optimize the attribute mathematical theory,avoiding the influence of mutation points and linear variation zones in traditional linear measurement functions on the accuracy of the model.Based on comprehensive analysis of various factors,five parameters were selected as the evaluation indicators for the model,including tunnel head pressure,permeability coefficient of surrounding rock,crushing degree of surrounding rock,relative angle of joint plane and tunnel section size,under the principle of dimension rationality,independence,directness and quantification.The indicator classifications were determined.The links among measured data were analyzed in detail,and the objective weight of each indicator was determined by using similar weight method.Thereby the tunnel water inrush risk assessment model is established and applied in four target segments of two different tunnels in engineering.The evaluation results and the actual excavation data agree well,which indicates that the model is of high credibility and feasibility.展开更多
文摘立体匹配是三维重建问题的重要环节,良好的稠密视差图是恢复立体三维结构的先决条件。针对区域立体匹配策略、固定的窗口大小内视差不一致与匹配信息不够丰富的问题,提出了一种新的相似性测度函数和方向权值算法。首先,通过新的相似性测度函数建立两点的匹配代价;其次,在该点邻域内依据方向权值算法聚合窗口内的匹配代价;最后,通过WTA(Winner Take All)算法计算初始视差图,并根据左右一致性约束优化得到最终的稠密视差图。该方法较传统的区域匹配算法,匹配精度得到提高,算法运行效率也得到了提升,经实际验证该算法的稳健性较好。
基金Project(2013CB036004) supported by National Basic Research Program(973)of ChinaProject(51378510) supported by National Natural Science Foundation of China
文摘Tunnel water inrush is one of the common geological disasters in the underground engineering construction.In order to effectively evaluate and control the occurrence of water inrush,the risk assessment model of tunnel water inrush was proposed based on improved attribute mathematical theory.The trigonometric functions were adopted to optimize the attribute mathematical theory,avoiding the influence of mutation points and linear variation zones in traditional linear measurement functions on the accuracy of the model.Based on comprehensive analysis of various factors,five parameters were selected as the evaluation indicators for the model,including tunnel head pressure,permeability coefficient of surrounding rock,crushing degree of surrounding rock,relative angle of joint plane and tunnel section size,under the principle of dimension rationality,independence,directness and quantification.The indicator classifications were determined.The links among measured data were analyzed in detail,and the objective weight of each indicator was determined by using similar weight method.Thereby the tunnel water inrush risk assessment model is established and applied in four target segments of two different tunnels in engineering.The evaluation results and the actual excavation data agree well,which indicates that the model is of high credibility and feasibility.
