Stereo Error Detection, Correction, and Evaluation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Non-parametric local transforms for computing visual correspondence
ECCV '94 Proceedings of the third European conference on Computer Vision (Vol. II)
Handbook of image processing operators
Handbook of image processing operators
Computer Vision: Three-Dimensional Data from Images
Computer Vision: Three-Dimensional Data from Images
A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
International Journal of Computer Vision
Measuring the Self-Consistency of Stereo Algorithms
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part I
Prediction Error as a Quality Metric for Motion and Stereo
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Point Matching under Large Image Deformations and Illumination Changes
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
Segment-Based Stereo Matching Using Belief Propagation and a Self-Adapting Dissimilarity Measure
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 03
Moving Object Segmentation Using Optical Flow and Depth Information
PSIVT '09 Proceedings of the 3rd Pacific Rim Symposium on Advances in Image and Video Technology
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
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
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
Ground truth evaluation of stereo algorithms for real world applications
ACCV'10 Proceedings of the 2010 international conference on Computer vision - Volume part II
Evaluation of a new coarse-to-fine strategy for fast semi-global stereo matching
PSIVT'11 Proceedings of the 5th Pacific Rim conference on Advances in Image and Video Technology - Volume Part I
Real-time dense stereo for intelligent vehicles
IEEE Transactions on Intelligent Transportation Systems
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Evaluation of stereo-analysis algorithms is usually done by analysing the performance of stereo matchers on data sets with available ground truth. The trade-off between precise results, obtained with this sort of evaluation, and the limited amount (in both, quantity and diversity) of data sets, needs to be considered if the algorithms are required to analyse real-world environments. This chapter discusses a technique to objectively evaluate the performance of stereo-analysis algorithms using real-world image sequences. The lack of ground truth is tackled by incorporating an extra camera into a multi-view stereo camera system. The relatively simple hardware set-up of the proposed technique can easily be reproduced for specific applications.