使用立体视觉和二维算法自动识别图像细节

2018 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA) Pub Date : 2018-09-01 DOI:10.23919/SPA.2018.8563419

J. Balcerek, Mateusz Luczak, P. Pawlowski, A. Dabrowski

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引用次数: 3

摘要

本文介绍了立体视觉在汽车应用和视频监控中的应用。立体视觉系统的两个视频通道提供了一种新的图像细节识别质量。即使使用流行的目标识别算法，立体视觉也能显著提高分析的可信性。利用专门编制的三维视频测试库进行的初步实验表明，与单一视频通道相比，该方法的识别效率提高了10-30%。

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Automatic recognition of image details using stereovision and 2D algorithms

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.

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来源期刊

2018 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)

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