Implementation of multiview calibration system for an effective 3D display

In this paper, we proposed multiview calibration system for an effective 3D display. This system can obtain 4-view image from multiview camera system. Also it can be rectify lens and camera distortion, an error of bright and color, and it can be calibrate distortion of geometry. We proposed the signal processing skill to calibrate the camera distortions which are able to take place from the acquired multiview images. The discordance of the brightness and the colors are calibrated the color transform by extracting the feature point, correspondence point. In addition, the difference of brightness is calibrated by using the differential map of brightness from each camera image. A spherical lens distortion is corrected by extracting the pattern of the multiview camera images. Finally the camera error and size among the multiview cameras is calibrated by removing the distortion. Accordingly, this proposed rectification & calibration system enable to effective 3D display and acquire natural multiview 3D image.

[1]  Ian P. Howard,et al.  Binocular Vision and Stereopsis , 1996 .

[2]  Neil A. Dodgson,et al.  Multi-view autostereoscopic 3D display , 1999 .

[3]  Songde Ma,et al.  Implicit and Explicit Camera Calibration: Theory and Experiments , 1994, IEEE Trans. Pattern Anal. Mach. Intell..

[4]  Takeo Kanade,et al.  An Iterative Image Registration Technique with an Application to Stereo Vision , 1981, IJCAI.

[5]  David Capel,et al.  Image Mosaicing and Super-resolution , 2004, Distinguished Dissertations.

[6]  Gregg Podnar,et al.  Geometry of binocular imaging , 1994, Electronic Imaging.

[7]  Carlo Tomasi,et al.  Good features to track , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[8]  Zhengyou Zhang,et al.  Flexible camera calibration by viewing a plane from unknown orientations , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.