Region-based template matching method for multi-view coastline image stitching

Bo Wang, Zhiqiang Wei, Z. Li, Wei Hu, Shuang Wang, Shugang Zhang, Changehe Du, Wenjuan Shi
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引用次数: 4

Abstract

Coastal environment is one of the most important part in human activities environment, so coastline studying has great significance to us. Since the coastline stretches widely, shot by many cameras at the same time in different regions currently, and we need spliced it into a complete coastline for further study. However, the feature points of the beach are difficult to be extracted, we use the region-based template matching method to splice it in this paper. An efficient template matching method was proposed to solve the time-consuming classical algorithm of exhaustive search and low efficiency of template selection. Through the experiments, most of the coastline can be spliced better and faster than MAD method.
基于区域模板匹配的多视角海岸线图像拼接方法
海岸带环境是人类活动环境的重要组成部分,海岸带研究对我们具有重要意义。由于海岸线延伸的范围很广,目前在不同的区域有多台摄像机同时拍摄,我们需要将其拼接成一个完整的海岸线进行进一步的研究。但海滩特征点难以提取,本文采用基于区域的模板匹配方法对其进行拼接。针对经典穷举搜索算法耗时长、模板选择效率低的问题,提出了一种高效的模板匹配方法。通过实验,可以比MAD方法更好更快地拼接大部分海岸线。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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