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The Study of Preprocessing and Postprocessing Techniques of Image Stitching

机译:图像拼接的预处理和后处理技术研究

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Image stitching played a vital role in development of real life applications in Computer Vision field. The idea behind Image Stitching is to construct seamless high definition panoramic view using different viewpoints with multiple smaller overlapping images. Image stitching method involves steps such as feature detection and description, feature matching and homography estimation which are referred as preprocessing techniques. After this, postprocessing techniques like finalization of reference frame, image blending and compositing methods are studied. In this paper, the comparative analysis of above techniques is addressed quantitatively and qualitatively. Based on above, general ideas and selection of appropriate algorithms are provided to obtain landscape panorama.
机译:图像拼接在计算机视觉领域的现实应用开发中起着至关重要的作用。图像拼接的思想是使用具有多个较小重叠图像的不同视点来构建无缝的高清全景视图。图像拼接方法涉及诸如特征检测和描述,特征匹配和单应性估计的步骤,这些步骤被称为预处理技术。此后,研究了诸如参考帧定稿,图像融合和合成方法之类的后处理技术。本文对上述技术的比较分析进行了定量和定性分析。基于以上所述,提供了总体思路和适当算法的选择以获得风景全景。

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