3D Reconstruction Using Level-Based Approach in Stereopsis

Sayed Ali Kasaei Zadeh, A. Said
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引用次数: 2

Abstract

We present preliminary results of our work on an alternative approach to address correspondence in stereopsis. Accurate correspondence between two images is required to determine depth and hence, the 3D model, out of two 2D images. To achieve this, we studied the relationship among disparity, depth, camera features and data gathered from output images. We propose a level-based approach to enhance the correspondence accuracy. The results show that the algorithm gives accurate results compared to the measurements in the camera set-up
立体视觉中基于层次的三维重建方法
我们提出了一种替代方法来解决立体视觉中的对应关系的初步结果。为了确定深度,需要两幅图像之间的精确对应,因此,需要两幅2D图像中的3D模型。为了实现这一点,我们研究了视差、深度、相机特征和从输出图像中收集的数据之间的关系。我们提出了一种基于层次的方法来提高对应精度。结果表明,该算法得到的结果与摄像机设置的测量结果相比是准确的
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