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3D MODELLING FROM UN CALIBRATED IMAGES ? A COMPARATIVE STUDY

机译:从未经校准的图像进行3D建模?比较研究

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3D modeling is a demanding area of research. Creating a 3D world from sequence of images captured using different mobile cameras pose additional challenge in this field. We plan to explore this area of computer vision to model a 3D world of Indian heritage sites for virtual tourism. In this paper a comparative study of the existing methods used for 3D reconstruction of un-calibrated image sequences was done. The study shows different scenario of modeling 3D objects from un-calibrated images which include community photo collection, images taken from unknown camera, 3D modeling using two un-calibrated images, etc. Hence the different methods available were studied and an overall view of the techniques used in each step of 3D reconstruction was explored. The merits and demerits of each method were also compared.
机译:3D建模是一个需要研究的领域。根据使用不同移动摄像机捕获的图像序列创建3D世界,在这一领域提出了额外的挑战。我们计划探索计算机视觉的这一领域,为虚拟旅游建立一个3D印度遗产遗址世界模型。在本文中,对用于未校准图像序列的3D重建的现有方法进行了比较研究。该研究显示了从未校准图像建模3D对象的不同场景,这些图像包括社区照片集,从未知相机拍摄的图像,使用两张未校准图像进行3D建模等。因此,研究了可用的不同方法并对其整体视图进行了研究。探索了3D重建每个步骤中使用的技术。还比较了每种方法的优缺点。

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