IEEE Trans Image Process. 2012 Feb;21(2):889-98. doi: 10.1109/TIP.2011.2163163. Epub 2011 Jul 29.
Traditionally, subpixel interpolation in stereo-vision systems was designed for the block-matching algorithm. During the evaluation of different interpolation strategies, a strong correlation was observed between the type of the stereo algorithm and the subpixel accuracy of the different solutions. Subpixel interpolation should be adapted to each stereo algorithm to achieve maximum accuracy. In consequence, it is more important to propose methodologies for interpolation function generation than specific function shapes. We propose two such methodologies based on data generated by the stereo algorithms. The first proposal uses a histogram to model the environment and applies histogram equalization to an existing solution adapting it to the data. The second proposal employs synthetic images of a known environment and applies function fitting to the resulted data. The resulting function matches the algorithm and the data as best as possible. An extensive evaluation set is used to validate the findings. Both real and synthetic test cases were employed in different scenarios. The test results are consistent and show significant improvements compared with traditional solutions.
传统上，立体视觉系统中的子像素插值是为块匹配算法设计的。在评估不同的插值策略时，观察到立体算法的类型与不同解决方案的子像素精度之间存在很强的相关性。子像素插值应该适应每个立体算法，以实现最大的精度。因此，提出插值函数生成方法比特定函数形状更为重要。我们提出了两种基于立体算法生成的数据的方法。第一种方法使用直方图来建模环境，并对现有解决方案应用直方图均衡化，使其适应数据。第二种方法使用已知环境的合成图像，并对得到的数据应用函数拟合。得到的函数与算法和数据尽可能匹配。使用广泛的评估集来验证研究结果。在不同的场景中使用了真实和合成的测试案例。测试结果是一致的，与传统解决方案相比，有显著的改进。
