基于三维高清图像视觉传达的计算机设计系统应用研究

Zimo Chen
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引用次数: 0

摘要

针对三维高清图像配准后轮廓模糊、整体分布形状不完整等问题,提出了一种多维视觉通信下投影变换图像配准仿真方法。匹配点要求校正后的图像满足近极几何约束。在此基础上,本文利用3D打印技术获取图像的内部结构。本文结合立体匹配算法,以像素的灰度及其梯度的线性组合作为相似性度量,对巨大的视觉传达图像进行简化。仿真实验充分验证了本文方法的实用性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application Research in Computer Design System Based on 3D High-Definition Image Visual Communication
Aiming at the problems of blurred contours and incomplete overall distribution shape after 3D high-definition image registration, this paper proposes a multi-dimensional visual communication down-projection transformation image registration simulation. Matching points require the image to satisfy peripolar geometric constraints after correction. On the basis of the above, this paper uses 3D printing technology to obtain the internal structure of the image. This paper combines the stereo matching algorithm to simplify the huge visual communication image by using the grayscale of the pixel and the linear combination of its gradient as the similarity measure. Simulation experiments have fully verified the practicability and effectiveness of the method in this paper.
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