基于SIFT归一化卷积算法的三维图像重建

Hai Zou, Jianqiang Gao
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引用次数: 0

摘要

随着信息世界的飞速发展,信息的多样化和多样性已成为一种必然趋势,我们感知的信息大多来自视觉系统,而三维图像是由整个视觉系统来描述的。图像数据在传输或转换过程中会受到噪声或光线等其他因素的影响,不可避免地会造成图像的退化而不能达到我们对三维图像的预期,我们充分利用二维图像的局部稳定特征,通过对三维图像的重建过程,对修复算法进行归一化卷积,然后重建三维图像。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Three Dimensional Image Reconstruction Based on Normalized Convolution Algorithm of SIFT
With the rapid development of the information world, the diversification of information and diversity has become an inevitable trend, we perceive the mostly information from visual system, but three dimensional image is described by the whole vision system. The image data will be influenced by other factors such as noise or light in transmission process or conversion, it will inevitably result in image degradation and could not achieve our expected for 3D image, we make full use of the characteristics of the local stability characteristics for two-dimensional image through the reconstruction process of the 3D image, make normalized convolution of repairing algorithm, then re-establish of three-dimensional image.
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