Using Real-Time Stereo Vision for Mobile Robot Navigation
Autonomous Robots
Multi-camera Scene Reconstruction via Graph Cuts
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Prediction Error as a Quality Metric for Motion and Stereo
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
A Unified Framework for Performance Evaluation of 3-D Reconstruction Techniques
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 3 - Volume 03
Accurate and Efficient Stereo Processing by Semi-Global Matching and Mutual Information
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Efficient Belief Propagation for Early Vision
International Journal of Computer Vision
Approximated Ground Truth for Stereo and Motion Analysis on Real-World Sequences
PSIVT '09 Proceedings of the 3rd Pacific Rim Symposium on Advances in Image and Video Technology
Belief Propagation for Stereo Analysis of Night-Vision Sequences
PSIVT '09 Proceedings of the 3rd Pacific Rim Symposium on Advances in Image and Video Technology
A Third Eye for Performance Evaluation in Stereo Sequence Analysis
CAIP '09 Proceedings of the 13th International Conference on Computer Analysis of Images and Patterns
Stereo by two-level dynamic programming
IJCAI'85 Proceedings of the 9th international joint conference on Artificial intelligence - Volume 2
Performance Evaluation of Stereo Algorithms for Automotive Applications
ICVS '09 Proceedings of the 7th International Conference on Computer Vision Systems: Computer Vision Systems
Benchmarking stereo data (not the matching algorithms)
Proceedings of the 32nd DAGM conference on Pattern recognition
Real-World stereo-analysis evaluation
Proceedings of the 15th international conference on Theoretical Foundations of Computer Vision: outdoor and large-scale real-world scene analysis
Quality assessment of non-dense image correspondences
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume 2
Kalman-filter based spatio-temporal disparity integration
Pattern Recognition Letters
A robust cost function for stereo matching of road scenes
Pattern Recognition Letters
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Current stereo algorithms are capable to calculate accurate (as defined, e.g., by needs in vision-based driver assistance) dense disparity maps in real time. They have become the source of three-dimensional data for several indoor and outdoor applications. However, ground truthbased evaluation of such algorithms has been typically limited to data sets generated indoors in laboratories. In this paper we present a new approach to evaluate stereo algorithms using ground-truth over real world data sets. Ground truth is generated using range measurements acquired with a high-end laser range-finder. For evaluating as many points as possible in a given disparity map, we use two evaluation approaches: A direct comparison for those pixels with available range data, and a confidence measure for the remaining pixels.