3D Urban Scene Modeling Integrating Recognition and Reconstruction
International Journal of Computer Vision
Mutual Information Based Semi-Global Stereo Matching on the GPU
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing
Optimal periodic memory allocation for image processing with multiple windows
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Coarse-to-fine stereo vision with accurate 3D boundaries
Image and Vision Computing
Object Detection and Tracking for Autonomous Navigation in Dynamic Environments
International Journal of Robotics Research
Online loop closure for real-time interactive 3D scanning
Computer Vision and Image Understanding
Real-time stereo on GPGPU using progressive multi-resolution adaptive windows
Image and Vision Computing
Large-scale, dense city reconstruction from user-contributed photos
Computer Vision and Image Understanding
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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.