局部仿射框架的最优多视校正
Optimal Multi-view Correction of Local Affine Frames
摘要：
该技术要求对极几何形状在每个图像对之间被预先估计。它利用相机运动所隐含的约束，以便对输入亲和力的参数应用闭合形式的校正。此外，它表明，部分仿射协变检测器，例如，AKAZE或SIFT，可以完成完全仿射帧的算法。在合成实验和公开可用的真实世界数据集上都验证了该方法总是提高所评估的仿射协变特征检测器的输出。作为一个副产品，这些检测器进行比较，并获得最准确的仿射帧的报告。为了证明的适用性，我们表明，所提出的技术作为一个预处理步骤，提高了准确性的姿态估计的相机架，表面法线和单应性估计。
英文摘要：
The technique requires the epipolar geometry to be pre-estimated between each image pair. It exploits the constraints which the camera movement implies, in order to apply a closed-form correction to the parameters of the input affinities. Also, it is shown that the rotations and scales obtained by partially affine-covariant detectors, e.g., AKAZE or SIFT, can be completed to be full affine frames by the proposed algorithm. It is validated both in synthetic experiments and on publicly available real-world datasets that the method always improves the output of the evaluated affine-covariant feature detectors. As a by-product, these detectors are compared and the ones obtaining the most accurate affine frames are reported. For demonstrating the applicability, we show that the proposed technique as a pre-processing step improves the accuracy of pose estimation for a camera rig, surface normal and homography estimation.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
