Local stereo matching with adaptive support-weight, rank transform and disparity calibration
Pattern Recognition Letters
Efficient Dense Scene Flow from Sparse or Dense Stereo Data
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
Stereo Image Analysis of Non-Lambertian Surfaces
International Journal of Computer Vision
Inclusion of a Second-Order Prior into Semi-Global Matching
PSIVT '09 Proceedings of the 3rd Pacific Rim Symposium on Advances in Image and Video Technology
Detection and Segmentation of Independently Moving Objects from Dense Scene Flow
EMMCVPR '09 Proceedings of the 7th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
Coarse-to-fine stereo vision with accurate 3D boundaries
Image and Vision Computing
An asymmetric post-processing for correspondence problem
Image Communication
Stereo vision enabling precise border localization within a scanline optimization framework
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
KI'09 Proceedings of the 32nd annual German conference on Advances in artificial intelligence
Exploiting redundancy for aerial image fusion using convex optimization
Proceedings of the 32nd DAGM conference on Pattern recognition
Real-time stereo on GPGPU using progressive multi-resolution adaptive windows
Image and Vision Computing
Rainbow of computer science
hSGM: hierarchical pyramid based stereo matching algorithm
ACIVS'11 Proceedings of the 13th international conference on Advanced concepts for intelligent vision systems
Stereoscopic Scene Flow Computation for 3D Motion Understanding
International Journal of Computer Vision
Improving sub-pixel accuracy for long range stereo
Computer Vision and Image Understanding
How Accurate Can Block Matches Be in Stereo Vision?
SIAM Journal on Imaging Sciences
Stereo matching using weighted dynamic programming on a single-direction four-connected tree
Computer Vision and Image Understanding
A hybrid genetic approach for stereo matching
Proceedings of the 15th annual conference on Genetic and evolutionary computation
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This paper considers the use of stereo vision in structured environments. Sharp discontinuities and large untextured areas must be anticipated, but complex or natural shapes of objects and fine structures should be handled as well. Additionally, radiometric differences of input images often occur in practice. Finally, computation time is an issue for handling large or many images in acceptable time. The Semi-Global Matching method is chosen as it fulfills already many of the requirements. Remaining problems in structured environments are carefully analyzed and two novel extensions suggested. Firstly, intensity consistent disparity selection is proposed for handling untextured areas. Secondly, discontinuity preserving interpolation is suggested for filling holes in the disparity images that are caused by some filters. It is shown that the performance of the new method on test images with ground truth is comparable to the currently best stereo methods, but the complexity and runtime is much lower.