结合“特征映射”和“块”方法来减少立体算法的匹配面积

Q3 Computer Science
Djaber Rouabhia, Nour Eddine Djedi
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引用次数: 0

摘要

本文提出了一种约束立体算法匹配域的新方法。人们发现,计算视差图意味着使用整个图像进行广泛的立体方法,从而导致额外的计算时间和结果中的视觉伪影。基于这一观察,我们推导出一种方法,该方法显著减少了立体算法的评估时间,并避免了结果中出现的噪声。该方法通过仅使用图像中存在的几何信息来限制匹配区域,从而引入了轮廓边缘和立体算法之间的强关联。所提出的方法旨在将匹配区域限制在被分析对象的精确几何形状,从而避免额外的时间和不受欢迎的噪声。我们没有使用硬编码算法或昂贵的设备,我们在时间和准确性方面得到了可接受的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A combination of 'feature mapping' and 'block' approaches to reduce the matching area of stereoscopic algorithms
In this paper, we propose a new approach to restrict the matching field of stereoscopic algorithms. It has been found that computing the disparity map implies using the whole image for a wide range of stereoscopic methods, thus, leading to extra-time calculation and visual artefacts in the results. Based on this observation, we derived an approach that significantly reduces the evaluated time of stereoscopic algorithms and avoids noises appearing in the result. The proposed approach introduces a strong association between silhouette edges and stereoscopic algorithms by using only the geometric information present in the images to restrict the matching area. The proposed method aims to limit the matching zone to the exact geometry of the analysed object, avoiding, therefore, extra times and undesirable noises. We did not use hard-coding algorithms or expensive equipment, and we got accepted results in terms of time and accuracy.
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来源期刊
International Journal of Computational Vision and Robotics
International Journal of Computational Vision and Robotics Computer Science-Computer Science Applications
CiteScore
1.80
自引率
0.00%
发文量
67
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