基于空间平面分割和投影变换的光场图像拼接算法  

Light-Field Image Stitching Algorithm Based on Spatial Plane Segmentation and Projective Transformation

作　　者：毛一鸣 王建明 晏涛 陈丽芳[1,2] 刘渊 Mao Yiming;Wang Jianming;Yan Tao;Chen Lifang;Liu Yuan(School of Digital Media , Jiangnan University, Wuxi, Jiangsu 214122, China;Jiangsu Key Laboratory of Media Design and Softicare Technology, Wuxi, Jiangsu 214122, China)

机构地区：[1]江南大学数字媒体学院,江苏无锡214122 [2]江南大学江苏省媒体设计与软件技术重点实验室,江苏无锡214122

出　　处：《激光与光电子学进展》2019年第10期105-112,共8页Laser & Optoelectronics Progress

基　　金：江苏省自然科学基金(BK20170197);国家科技支撑计划课题(2015BAH54F01)

摘　　要：提出了一种基于空间平面分割和投影变换的光场图像拼接算法。依据光场深度信息对目标场景进行平面拟合和分割,并根据颜色信息利用马尔可夫模型对分割结果进行了优化。利用不同视点间的光流信息求解投影变换矩阵,将对应的分割区域投影变换到同一视点。通过计算最小缝合线拼接重叠区域,并采用泊松优化的方法融合拼接区域。实验结果表明,所提算法能够生成大视野的光场图像,且光场中光线对齐准确,无明显几何畸变。A method for stitching light-field images is proposed based on spatial plane segmentation and projective transformation. The spatial plane fitting and segmentation are performed on the target scene according to the depth map, and the initial segmentation result is refined using a Markov random framework model according to the color information. The corresponding segmentation regions are projected to the same viewpoint using the projective transformation matrix, which is calculated using the optical-flow information among different viewpoints. Finally, a minimum energy seam is calculated to stitch together the corresponding overlapped regions, and a Poisson optimization technique is utilized to blend the stitched area. The experimental results show that the proposed method can generate large field of view light-field images without any ray misalignment or noticeable geometric distortion.

关 键 词：图像处理 光场图像 图像拼接 平面拟合 图像分割 图像对齐 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]