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Computing Image-Based Reprojection Error on Graphics Hardware

机译:在图形硬件上计算基于图像的投影误差

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摘要

This paper describes a novel approach to the problem of recovering information from an image set by comparing the radiance of hypothesised point correspondences. This method is applicable to a number of problems in computer vision, but is explained particularly in terms of recovering geometry and camera parameters from image sets. The algorithm employs a cost-function to represent the probability that a hypothesised scene description and camera parameters generated the reference images and is characterised by its ability to execute on graphics hardware. Experiments show that minimisation of the cost-function converges to a valid solution provided there are adequate geometric constraints and projective coverage.
机译:本文介绍了一种通过比较假设的点对应关系的辐射度来解决从图像集中恢复信息的新方法。该方法适用于计算机视觉中的许多问题,但特别是从图像集中恢复几何形状和相机参数方面进行了解释。该算法采用成本函数表示假设的场景描述和摄像机参数生成参考图像的概率,并以其在图形硬件上执行的能力为特征。实验表明,只要有足够的几何约束和投影范围,就可以将成本函数的最小化收敛到一个有效的解决方案。

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