Fusion of Combined Stereo and Focus Series for Depth Estimation

Estimating depth maps is an important step towards 3D reconstruction. In order to compensate the insufficiencies that different image based methods impose, a fusion of multiple information sources for depth estimation is proposed. This arti- cle concentrates on obtaining depth information by fusing combined stereo and focus series, which are efficiently gained using a multivariate camera array.

[1]  Fernando Puente León,et al.  Datenfusion zur Gewinnung hochwertiger Bilder in der automatischen Sichtprüfung , 1997 .

[2]  Vladimir Kolmogorov,et al.  Multi-camera Scene Reconstruction via Graph Cuts , 2002, ECCV.

[3]  O. Faugeras,et al.  The Geometry of Multiple Images , 1999 .

[4]  Muralidhara Subbarao,et al.  Accurate Recovery of Three-Dimensional Shape from Image Focus , 1995, IEEE Trans. Pattern Anal. Mach. Intell..

[5]  Shang-Hong Lai,et al.  A Generalized Depth Estimation Algorithm with a Single Image , 1992, IEEE Trans. Pattern Anal. Mach. Intell..

[6]  Shree K. Nayar,et al.  Shape from Focus , 1994, IEEE Trans. Pattern Anal. Mach. Intell..

[7]  Muralidhara Subbarao,et al.  Depth recovery from blurred edges , 1988, Proceedings CVPR '88: The Computer Society Conference on Computer Vision and Pattern Recognition.

[8]  Alex Pentland,et al.  A New Sense for Depth of Field , 1985, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[9]  Margrit Gelautz,et al.  A layered stereo algorithm using image segmentation and global visibility constraints , 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..