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View Synthesis for Virtual Walk through in Real Scene Based on Catadioptric Omnidirectional Images

机译:基于CataDoptric全向图像查看虚拟散步的综合

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This paper proposes an approach to more conveniently and efficiently create virtual walk through in realscene from catadioptric omni directional images viaview synthesis. Acquisition and unwarping process of omnidirectional image are discussed firstly, then, according to the speciality of cylindrical panoramic image, we utilize the advantage of epiline-sampling method for cylindrical image, which samples reference images along epilines as much as possible grounding on epipolar geometry. As to novel view generation after image rectification, a corresponding interpolation algorithm based on rectified images is developed. Results of proposed approach applied to both syntheticand real scene are given at the end of this paper. Experiments show that our method can reduce distortion and pixel information losing from image rectification obviously meanwhile maintain scene information well.
机译:本文提出了一种从Catadioptric Omni定向图像Viaview合成中更方便和有效地创建虚拟步行的方法。首先讨论全向图像的采集和未使用过程,然后,根据圆柱全景图像的专业,我们利用了逐圆形图像的癫痫样方法的优点,其在eMipolar几何上尽可能多地进行淘汰的参考图像。关于图像整流后的新颖观看,开发了一种基于整流图像的相应插值算法。在本文的末尾给出了应用于合成真实场景的提出方法的结果。实验表明,我们的方法可以减少从图像整流中丢失的失真和像素信息明显地保持场景信息良好。

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