通信与信息工程

多视成像实时校正与立体显示

展开
  • 1. 上海大学 通信与信息工程学院, 上海 200444; 2. 河北科技大学 信息科学与工程学院, 石家庄 050018

收稿日期: 2013-03-20

  网络出版日期: 2014-02-28

基金资助

国家自然科学基金资助项目(61172096, 61171084); 上海市科委重点资助项目(10510500500)

Real-Time Rectification and Stereoscopic Display for Multi-view Imaging

Expand
  • 1. School of Communication and Information Engineering, Shanghai University, Shanghai 200444, China;
    2. College of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, China

Received date: 2013-03-20

  Online published: 2014-02-28

摘要

手工摆放的平行摄像机阵列所拍摄的多视点立体图像往往会产生垂直视差. 为了消除多视点图像的垂直视差, 必须进行多视点图像的校正. 提出一种简单有效的多视图校正算法, 并基于该算法构建了自由立体显示系统. 应用多线程进行摄像机软同步以及后续的实时优化. 当摄像机图像的上传分辨率为1 280×960、上传速率为25 帧/s、目标3D 显示器的分辨率为1 920×1 080 时, 采用双线性插值, 可达到20 帧/s 左右的显示速率; 若采用复杂度更低的插值方法, 则可达到20 帧/s以上的显示速率. 该算法实现了8路摄像机实时校正和立体显示的3D电视系统.

本文引用格式

闫吉辰1, 安平1, 李春华1,2, 赵冰1, 刘超1, 张兆杨1 . 多视成像实时校正与立体显示[J]. 上海大学学报(自然科学版), 2014 , 20(1) : 92 -98 . DOI: 10.3969/j.issn.1007-2861.2014.07.015

Abstract

Multi-view images captured by a parallel multi-camera array manually placed tend to produce vertical parallax. To eliminate vertical parallax, the multi-view images must be rectified. This paper presents a simple and effective algorithm for multi-view rectification, and builds a stereoscopic display system based on this algorithm. A multithread technique is used to achieve soft synchronization of the cameras, and to perform real-time optimization. When image resolution is 1 280×960, the upload rate is 25 frame/s, and the target 3D display resolution is 1 920×1 080, the display rate of the system can reach 20 frame/s by using the bilinear interpolation. If interpolation methods with low complexity are used, the display rate can reach more than 20 frame/s. A 3DTV system with real-time rectification of eight cameras and stereoscopic display is built by using the proposed algorithm.

参考文献

[1] 张兆杨, 安平, 张之江, 等. 二维和三维视频处理及立体显示技术[M]. 北京: 科学出版社, 2010: 1-6.

[2] Fusiello A, Trucco E, Verri A. A compact algorithm for rectification of stereo pairs [J]. Machine Vision and Application, 2000, 12(1): 16-22.

[3] Loop C, Zhang Z. Computing rectifying homographies for stereo vision [C]//IEEE Conference on Computer Vision and Pattern Recognition. 1999: 125-131.

[4] Papadimitriou D V, Dennis T J. Epipolar line estimation and rectification for stereo image pairs [J]. IEEE Transactions on Image Processing, 1996, 5(4): 672-676.

[5] Zhang Y, An P, Wang H, et al. A rectification algorithm for un-calibrated multi-view images based on SIFT features [C]//International Conference onAudio Language and Image Processing. 2010: 143-147.

[6] Wang H, Wang G Z, Liu L L, et al. Fast automatic elimination of vertical parallax of multiview images [C]//IEEE 10th International Conference on Signal Processing. 2010: 1004-1007.

[7] 程明明, 王贺, 安平, 等. 基于特征点匹配的多视图像校正[J]. 液晶与显示, 2010, 25(4): 593-596.

[8] Kang Y S, Ho Y S. An efficient image rectification algorithm for parallel multi-camera arrangement [J]. IEEE Transactions on Consumer Electronics, 2011, 57(3): 1041-1048.

[9] Choi M, Kim J, Cho W K, et al. Low complexity image rectification for multi-view video coding [C]//IEEE International Symposium on Circuits and Systems. 2012: 381-384.

[10] Zhang Z Y. A flexible new technique for camera calibration [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000, 22(11): 1330-1334.
文章导航

/