利用反应性禁忌搜索恢复极面几何

Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271) Pub Date : 1998-01-04 DOI:10.1109/ICCV.1998.710804

Qifa Ke, Gang Xu, Songde Ma

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引用次数: 4

摘要

在本文中，我们提出了一种新的方法来恢复从一对未校准的图像极几何。我们首先检测特征点。通过最小化所提出的代价函数，我们在一步中匹配特征点，丢弃异常值并恢复极几何形状。在真实图像上的实验表明，该方法是有效的、快速的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Recovering epipolar geometry by reactive tabu search

In this paper we propose a new approach to recovering epipolar geometry from a pair of uncalibrated images. We first detect the feature points. By minimizing a proposed cost function, we match the feature points, discard the outliers and recover the epipolar geometry in one step. Experiments on real images show that this approach is effective and fast.

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Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271)

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