Performance of optical flow techniques
International Journal of Computer Vision
Postprocessing of Optical Flows Via Surface Measures and Motion Inpainting
Proceedings of the 30th DAGM symposium on Pattern Recognition
A Statistical Confidence Measure for Optical Flows
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part III
Beyond pixels: exploring new representations and applications for motion analysis
Beyond pixels: exploring new representations and applications for motion analysis
A Database and Evaluation Methodology for Optical Flow
International Journal of Computer Vision
A naturalistic open source movie for optical flow evaluation
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VI
On performance analysis of optical flow algorithms
Proceedings of the 15th international conference on Theoretical Foundations of Computer Vision: outdoor and large-scale real-world scene analysis
A complete confidence framework for optical flow
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume 2
Learning a Confidence Measure for Optical Flow
IEEE Transactions on Pattern Analysis and Machine Intelligence
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Confidence estimation has recently become a hot topic in image processing and computer vision. Yet, several definitions exist of the term "confidence" which are sometimes used interchangeably. This is a position paper, in which we aim to give an overview on existing definitions, thereby clarifying the meaning of the used terms to facilitate further research in this field. Based on these clarifications, we develop a theory to compare confidence measures with respect to their quality.