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Research on Real-time Video Stitching Technology

机译:实时视频拼接技术研究

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Limited by the viewing angles and sizes of imaging instruments like cameras, large pictures can't be generated, and image stitching can solve this problem. image stitching is such a technique that seamlessly mosaics two or more adjacent images with partially overlapping and thus generates a high-definition picture with a relatively wide viewing angle or a panorama with a 360° viewing angle. This technique involves computer vision, computer graphics, image processing and some mathematical tools and so on. And it makes it possible for noise reduction, field of view (FOV) widening, removal of mobiles, blur removing, spatial resolution improvement and dynamic range enhancement. The paper gives a systemic introduction to the origin, actuality, field of application and mosaic methods and gives a respective and detailed introduction to the two main processes: image registration and image composition. Image registration is the core technique of image stitching. The paper also classifies and summarizes the methods of image registration and described their advantages and disadvantages. At last, it gives a detailed introduction to the common methods of image composition at present and puts forward a feasible method of real-time image stitching.
机译:由摄像机等观察仪器的观察角度和大小限制,无法生成大图片,并且图像拼接可以解决这个问题。图像拼接是一种与部分重叠的两个或更多个相邻图像无缝起马发的技术,从而产生具有相对宽的观察角度或具有360°视角的全景的高清晰度图像。这种技术涉及计算机视觉,计算机图形,图像处理以及一些数学工具等。并且它使降噪,视野(FOV)扩大,移除移动,模糊,空间分辨率改进和动态范围增强。本文提供了系统介绍了对原点,现状,应用和镶嵌方法的介绍,并提供了两个主要流程的相应和详细介绍:图像配准和图像组成。图像配准是图像拼接的核心技术。本文还对图像登记和描述其优缺点进行了分类和总结。最后,它给出了目前图像组合物的常用方法的详细介绍,并提出了一种可行的实时图像缝合方法。

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