Detecting ground control points via convolutional neural network for stereo matching. | |
Cao, Donglin ; Lv, Zhihan; Li, Shaozi ; Zhong, Zhun ; Su, Songzhi | |
刊名 | MULTIMEDIA TOOLS AND APPLICATIONS
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2017 | |
文献子类 | 期刊论文 |
英文摘要 | In this paper, we present a novel approach to detect ground control points (GCPs) for stereo matching problem. First of all, we train a convolutional neuralnetwork (CNN) on a large stereo set, and compute the matching confidence of each pixel by using the trained CNN model. Secondly, we present a groundcontrol points selection scheme according to the maximum matching confidence of each pixel. Finally, the selected GCPs are used to refine the matchingcosts, then we apply the new matching costs to perform optimization with semi-global matching algorithm for improving the final disparity maps. We evaluate our approach on the KITTI 2012 stereo benchmark dataset. Our experiments show that the proposed approach significantly improves the accuracy of disparity maps. |
URL标识 | 查看原文 |
语种 | 英语 |
内容类型 | 期刊论文 |
源URL | [http://ir.siat.ac.cn:8080/handle/172644/12467] ![]() |
专题 | 深圳先进技术研究院_数字所 |
作者单位 | MULTIMEDIA TOOLS AND APPLICATIONS |
推荐引用方式 GB/T 7714 | Cao, Donglin , Lv, Zhihan, Li, Shaozi ,et al. Detecting ground control points via convolutional neural network for stereo matching.[J]. MULTIMEDIA TOOLS AND APPLICATIONS,2017. |
APA | Cao, Donglin , Lv, Zhihan, Li, Shaozi ,Zhong, Zhun ,& Su, Songzhi .(2017).Detecting ground control points via convolutional neural network for stereo matching..MULTIMEDIA TOOLS AND APPLICATIONS. |
MLA | Cao, Donglin ,et al."Detecting ground control points via convolutional neural network for stereo matching.".MULTIMEDIA TOOLS AND APPLICATIONS (2017). |
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