基于三维场景重建的虚拟图像多特征匹配算法

Jun Yu, Zongren Chen, Xiaobo Jiang, Bo Wang
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引用次数: 0

摘要

针对当前虚拟图像多特征匹配算法中特征失配率高、匹配效率低的问题,提出了一种基于三维场景重构的虚拟图像多特征匹配算法。首先,在三维场景重建中,对虚拟图像进行预处理,消除虚拟图像中的噪声,避免压缩过程中的噪声干扰,提高图像的信噪比;其次,对去噪后的虚拟图像进行增强,增强图像的细节;最后,根据从虚拟图像中提取的信息特征构造相应的信息特征向量,完成虚拟图像多特征匹配算法。实验表明,所设计算法的多特征匹配率高,错误匹配率低,最大空间失真率仅为0.6%,压缩图像质量和匹配性能良好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Virtual image multi feature matching algorithm based on 3D scene reconstruction
Aiming at the problems of high feature mismatch rate and low matching efficiency in the current virtual image multi feature matching algorithm, a virtual image multi feature matching algorithm based on 3D scene reconstruction is proposed. Firstly, in the 3D scene reconstruction, the virtual image is preprocessed to eliminate the noise in the virtual image, avoid the noise interference in the compression process, and improve the signal-to-noise ratio of the image; Secondly, the de-noising virtual image is enhanced to enhance the details of the image; Finally, the corresponding information feature vector is constructed from the information features extracted from the virtual image, and the virtual image multi feature matching algorithm is completed. Experiments show that the multi feature matching rate of the designed algorithm is high, the error matching rate is low, the maximum spatial distortion rate is only 0.6%, and the compressed image quality and matching performance are good.
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