Fast estimation of fundamental matrix based on stripe constraints

In order to improve the performance of estimating the fundamental matrix, a key problem arising in stereo vision, a novel method based on stripe constraints is presented. In contrast to traditional methods based on algebraic least-square algorithms, the proposed approach aims to minimize a cost function that is derived from the minimum radius of the Hough transform. In a structured-light system with a particular stripe code pattern, there are linear constraints that the points with the same code are on the same surface. Using the Hough transform, the pixels with the same code map to the Hough space, and the radius of the intersections can be defined as the evaluation function in the optimization progress. The global optimum solution of the fundamental matrix can be estimated using a Levenberg- Marquardt optimization iterative process based on the Hough transform radius. Results illustrate the validity of this algorithm, and prove that this method can obtain good performance with high efficiency.

基于计算机视觉的荫罩式等离子屏板精密定位研究

针对荫罩式等离子屏板精密定位的特点,研制开发了一套基于计算机视觉的屏板精密定位装置,装置以工业控制计算机为核心,通过光、机、电的有机结合,可实现前基板、荫罩和后基板三者之间的全自动精密平面定位。系统采用快速图像边缘检测技术、特征图型标识识别技术和精密驱动控制技术,可确保较高的检测与定位精度。实验结果表明,基于计算机视觉的高精密定位装置可实现的精密定位。