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A New Method on Super Pixel Reducing Stereo Matching Time of Integrated Imaging
International Journal of Pattern Recognition and Artificial Intelligence ( IF 0.9 ) Pub Date : 2020-12-29 , DOI: 10.1142/s0218001421540148
Xue-Guang Wang 1, 2 , Ming Li 1 , Lei Zhang 3 , Hui Zhao 4, 5 , Thelma D. Palaoag 6
Affiliation  

Stereo vision and 3D reconstruction technologies are increasingly concerned in many fields. Stereo matching algorithm is the core of stereo vision and also a technical difficulty. A novel method based on super pixels is mentioned in this paper to reduce the calculating amount and the time. Stereo images from University of Tsukuba are used to test our method. The proposed method spends only 1% of the time spent by the conventional method. Through a two-step super-pixel matching optimization, it takes 6.72 s to match a picture, which is 12.96% of the pre-optimization.

中文翻译:

一种超像素减少综合成像立体匹配时间的新方法

立体视觉和3D重建技术在许多领域越来越受到关注。立体匹配算法是立体视觉的核心,也是技术难点。为了减少计算量和时间,本文提出了一种基于超像素的新方法。来自筑波大学的立体图像用于测试我们的方法。所提出的方法只花费了传统方法所花费时间的 1%。通过两步超像素匹配优化,匹配一张图片需要6.72 s,是优化前的12.96%。
更新日期:2020-12-29
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