论文标题
图像匹配与比例调整
Image Matching with Scale Adjustment
论文作者
论文摘要
在本文中，我们解决了将两个图像与两个不同分辨率匹配的问题：高分辨率图像和一个低分辨率图像。两个图像之间的分辨率差异尚不清楚，并且没有损失一般性的图像之一被认为是高分辨率的图像。在解决方案的变化作为相当于尺度变化的平滑性的前提下，产生了高分辨率图像的比例空间表示。因此，一对一的经典图像匹配范式成为一对多的，因为低分辨率图像与高分辨率的所有比例空间表示相比。这种过程成功的关键是要在比例空间中匹配的功能的正确表示。我们展示了如何在可变量表上表示和提取兴趣点，并设计了一种方法，允许在两个不同的分辨率下比较两个图像。该方法包括使用光度和旋转不变的描述符，将高分辨率图像映射到低分辨率图像区域的几何模型，以及基于本地约束的图像匹配策略以及该几何模型的强大估计。广泛的实验表明，我们的匹配方法可用于比例更改高达6倍。
In this paper we address the problem of matching two images with two different resolutions: a high-resolution image and a low-resolution one. The difference in resolution between the two images is not known and without loss of generality one of the images is assumed to be the high-resolution one. On the premise that changes in resolution act as a smoothing equivalent to changes in scale, a scale-space representation of the high-resolution image is produced. Hence the one-to-one classical image matching paradigm becomes one-to-many because the low-resolution image is compared with all the scale-space representations of the high-resolution one. Key to the success of such a process is the proper representation of the features to be matched in scale-space. We show how to represent and extract interest points at variable scales and we devise a method allowing the comparison of two images at two different resolutions. The method comprises the use of photometric- and rotation-invariant descriptors, a geometric model mapping the high-resolution image onto a low-resolution image region, and an image matching strategy based on local constraints and on the robust estimation of this geometric model. Extensive experiments show that our matching method can be used for scale changes up to a factor of 6.
