Research Initiation: Stereo Matching Using Topographic Structures

立体图像中可见表面的三维位置 可以通过简单的三角变换来确定， 解决了立体匹配问题。 大多数现有的立体匹配 方法涉及匹配诸如边缘的低级图像特征。 这 研究描述了一种改进的立体匹配过程， 匹配高级图像特征。 萃取新技术 高层次的图像特征将被探索，目的是提取一个 图像中灰度强度变化的丰富符号表示。 将制定方法，以确定 提取立体图像中的图像特征。 我们的目标是开发 用于生成立体图像的全视差图的算法。

Three-dimensional positions of the visible surfaces in stereo images can be determined by simple trigonometric transformation once the stereo matching problem is solved. Most existing stereo matching methods involve matching low-level image features such as edges. This research describes an improved stereo matching procedure based on matching high-level image features. New techniques for extracting high-level image features will be explored with the aim of extracting a rich symbolic representation of the gray intensity changes in an image. Methods will be developed for determining correspondences between the extracted image features in the stereo images. The goal is to develop algorithms for generating full disparity maps for stereo images.