基于改进豪斯多夫距离的导航系统快速场景匹配方法

Yanjun Fu, Guojian Cheng, Xiaohua Tian, Kaifeng Sun
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引用次数: 3

摘要

改进的豪斯多夫距离(Hausdorff distance,简称HD)由于具有较高的适应性,在场景匹配导航系统中经常被用作相似度度量。为了解决基于高清的匹配实时性差的问题,通常采用基于多分辨率技术的糙精分级匹配方法。但是,这种方法不适用于实际图像较小的情况。通过分析高清图像的特点和基于小波分解的分层匹配的适应性,提出了一种将像素跳跃搜索与小波分解相结合的自适应快速场景匹配方法。仿真结果表明,所提出的自适应匹配方法比基于小波分解的匹配方法耗时更短,并且在实际图像较小的情况下匹配点仍然正确。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A fast scene matching method for navigation system based on the improved Hausdorff distance
The improved Hausdorff distance (Hausdorff distance: HD for short) is often used as a similarity measure in the scene matching navigation system for its high adaptability. To solve the problem of poor real-time with HD-based match, roughness-to-precision hierarchical match method is often used based on multi-resolution technique. However, this method is not suitable for the case of small actual image. By analyzing the characteristic of HD and the adaptability of hierarchical match based on wavelet decomposition, an adaptive fast scene matching method combining pixel-jump search with wavelet decomposition is proposed in this paper. Simulation results show that the proposed adaptive method takes less time than the wavelet-decomposition based matching method, and that the match point is still correct in the case of small actual image.
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