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Patricia Marquez, Debora Gil and Aura Hernandez-Sabate. 2011. A Confidence Measure for Assessing Optical Flow Accuracy in the Absence of Ground Truth. IEEE International Conference on Computer Vision – Workshops. Barcelona (Spain), IEEE, 2042–2049.
Abstract: Optical flow is a valuable tool for motion analysis in autonomous navigation systems. A reliable application requires determining the accuracy of the computed optical flow. This is a main challenge given the absence of ground truth in real world sequences. This paper introduces a measure of optical flow accuracy for Lucas-Kanade based flows in terms of the numerical stability of the data-term. We call this measure optical flow condition number. A statistical analysis over ground-truth data show a good statistical correlation between the condition number and optical flow error. Experiments on driving sequences illustrate its potential for autonomous navigation systems.
Keywords: IEEE International Conference on Computer Vision – Workshops
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Felipe Lumbreras and 7 others. 2001. Visual Inspection of Safety Belts. International Conference on Quality Control by Artificial Vision.526–531.
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Petia Radeva and Joan Serrat. 1993. Rubber Snake: Implementation on Signed Distance Potential. Vision Conference.187–194.
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X. Orriols, Ricardo Toledo, X. Binefa, Petia Radeva, Jordi Vitria and Juan J. Villanueva. 2000. Probabilistic Saliency Approach for Elongated Structure Detection using Deformable Models. 15 th International Conference on Pattern Recognition.1006–1009.
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David Lloret, Joan Serrat, Antonio Lopez, A. Soler and Juan J. Villanueva. 2000. Retinal image registration using creases as anatomical landmarks. 15 th International Conference on Pattern Recognition.207–2010.
Abstract: Retinal images are routinely used in ophthalmology to study the optical nerve head and the retina. To assess objectively the evolution of an illness, images taken at different times must be registered. Most methods so far have been designed specifically for a single image modality, like temporal series or stereo pairs of angiographies, fluorescein angiographies or scanning laser ophthalmoscope (SLO) images, which makes them prone to fail when conditions vary. In contrast, the method we propose has shown to be accurate and reliable on all the former modalities. It has been adapted from the 3D registration of CT and MR image to 2D. Relevant features (also known as landmarks) are extracted by means of a robust creaseness operator, and resulting images are iteratively transformed until a maximum in their correlation is achieved. Our method has succeeded in more than 100 pairs tried so far, in all cases including also the scaling as a parameter to be optimized
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Ricardo Toledo and 6 others. 2000. Eigensnakes for vessel segmentation in angiography. 15 th International Conference on Pattern Recognition.340–343.
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A. Pujol, Felipe Lumbreras, X. Varona and Juan J. Villanueva. 2000. Locating people in indoor scenes for real applications. 15 th International Conference on Pattern Recognition.632–635.
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Cristina Cañero, Petia Radeva, Ricardo Toledo, Juan J. Villanueva and J. Mauri. 2000. 3D Curve Reconstruction by Biplane Snakes. 15 th International Conference on Pattern Recognition.563–566.
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M.J. Yzuel, J. Pladellorens, Joan Serrat and A. Dupuy. 1993. Application restauration and edge detection techniques in the calculation of left ventricular volumes. Optics in Medicine, Biology and Environmental Research : Selected contributions to the first International Conference on Optics within Life Sciences (OWLS I). Elsevier, 374–375.
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Joan Serrat, J. Argemi and Juan J. Villanueva. 1991. Automatization of TW2 method using a knowledge-based image analysis system. VIth International Congress of Auxology..
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