Proceedings of the 28th annual conference on Computer graphics and interactive techniques
A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
International Journal of Computer Vision
Trinocular Stereo: A Real-Time Algorithm and its Evaluation
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
An Experimental Comparison of Stereo Algorithms
ICCV '99 Proceedings of the International Workshop on Vision Algorithms: Theory and Practice
Efficient Dense Stereo with Occlusions for New View-Synthesis by Four-State Dynamic Programming
International Journal of Computer Vision
Multi-View Stereo Reconstruction and Scene Flow Estimation with a Global Image-Based Matching Score
International Journal of Computer Vision
Stereo for Image-Based Rendering using Image Over-Segmentation
International Journal of Computer Vision
On the performance evaluation of 3D reconstruction techniques from a sequence of images
EURASIP Journal on Applied Signal Processing
Recognising Algebraic Surfaces from Two Outlines
Journal of Mathematical Imaging and Vision
Robust Surface Fitting from Two Views using Restricted Correspondence
Journal of Mathematical Imaging and Vision
A Meta Registration Framework for Lesion Matching
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part I
Graph-Cut versus Belief-Propagation Stereo on Real-World Images
CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Detecting registration failure
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
Stream-centric stereo matching and view synthesis: a high-speed approach on GPUs
IEEE Transactions on Circuits and Systems for Video Technology
Dense stereomatching algorithm performance for view prediction and structure reconstruction
SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis
A Database and Evaluation Methodology for Optical Flow
International Journal of Computer Vision
Ground truth evaluation of stereo algorithms for real world applications
ACCV'10 Proceedings of the 2010 international conference on Computer vision - Volume part II
Illumination invariant cost functions in semi-global matching
ACCV'10 Proceedings of the 2010 international conference on Computer vision - Volume part II
A measure for accuracy disparity maps evaluation
CIARP'11 Proceedings of the 16th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
A self-reconfigurable camera array
EGSR'04 Proceedings of the Fifteenth Eurographics conference on Rendering Techniques
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
On the evaluation of scene flow estimation
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume 2
Optimality in combinations of confidence measures for stereo vision
Proceedings of the 27th Conference on Image and Vision Computing New Zealand
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This paper presents a new methodology for evaluating the quality of motion estimation and stereo correspondence algorithms. Motivated by applications such as novel view generation and motion-compensated compression, we suggest that the ability to predict new views or frames is a natural metric for evaluating such algorithms.Our new metric has several advantages over comparing algorithm outputs to true motions or depths. First of all, it does not require the knowledge of ground truth data, which may be difficult or laborious to obtain. Second, it more closely matches the ultimate requirements of the application, which are typically tolerant of errors in uniform color regions, but very sensitive to isolated pixel errors or disocclusion errors.In the paper, we develop a number of error metrics based on this paradigm, including forward and inverse prediction errors, residual motion error, and local motion-compensated prediction error. We show results on a number of widely used motion and stereo sequences, many of which do not have associated ground truth data.