Planar surface detection and extraction in image pair taken under urban environment
Qiang He, Chee‐Hung Henry Chu · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2010
Planar surfaces are important characteristics in man-made environments. Planes have many practical applications in computer vision and computer graphics, including camera calibration and interactive modeling. Here, we develop a plane detection method for piecewise image pair taken under urban environment. All potential planes are detected based on planar homographies estimated from Levenberg-Marquardt algorithm. In order to extract the whole planes, the normalized cut method is used to segment the original images. We pick those segmented regions with maximum fit to those features satisfied with planar homographies as the whole planes. We illustrate the algorithm's performance on gray and color image pairs.