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Automatic recognition of image details using stereovision and 2D algorithms

机译:自动识别使用STEREOVICON和2D算法进行图像细节

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This paper presents a utilization of the stereovision in the automotive applications and video monitoring. Two video channels of stereovision system offer a new quality of recognition of image details. Even with popular object recognition algorithms the stereovision significantly improves the analysis plausibility. Preliminary experiments with the specially prepared 3D video test database show improvement of the recognition effectiveness by 10-30% in comparison to the single video channel.
机译:本文提出了在汽车应用和视频监控中使用了立体管。两个立体系统的视频通道提供了一种新的图像细节识别质量。即使具有流行的对象识别算法,STEREOVION显着提高了分析合理性。与单个视频通道相比,特别准备3D视频测试数据库的初步实验显示了10-30%的识别效率的提高。

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