Real-time connectivity constrained depth map computation using programmable graphics hardware

This paper presents a passive depth map computation algorithm which runs entirely on programmable 3D graphics hardware at real-time speed. Previous implementations relied on the use of either mipmapping or correlation windows to increase the robustness of the calculated depth map. These methods, however, are inherently unable to compute the depths for fine 3D structures. To overcome this obstacle we introduce a pixel-based method which incorporates connectivity information between neighboring pixels, while maintaining the performance boost gained by implementing the algorithm on a highly parallelized architecture such as graphics hardware.

[1]  G.E. Moore,et al.  Cramming More Components Onto Integrated Circuits , 1998, Proceedings of the IEEE.

[2]  Christopher Zach,et al.  Optimized Stereo Reconstruction Usina 3D Graphics Hardware , 2003, VMV.

[3]  Horst Bischof,et al.  Hierarchical Disparity Estimation with Programmable 3D Hardware , 2004 .

[4]  Markus Hadwiger,et al.  Accurate Dense Stereo Reconstruction using Graphics Hardware , 2003, Eurographics.

[5]  Ruigang Yang,et al.  Real-time consensus-based scene reconstruction using commodity graphics hardware , 2002, 10th Pacific Conference on Computer Graphics and Applications, 2002. Proceedings..

[6]  Ruigang Yang,et al.  Multi-resolution real-time stereo on commodity graphics hardware , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..