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Matthias S. Keil, & Gabriel Cristobal. (2000). Separating the chaff from the wheat: possible origins of the oblique effect. Journal of the Optical Society of America A – Optics, Image Science, and Vision, 17(4): 697–710 (IF: 1.481).
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B. Gotschy, Matthias S. Keil, H. Klos, & I. Rystau. (1994). Transition from static to dynamic Jahn-Teller distortion in (P(C6 H5)4)2 C60|. Solid State Communications, 92(12): 935–938.
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J.L. Pech-Pacheco, J. Alvarez-Borrego, Gabriel Cristobal, & Matthias S. Keil. (2003). Automatic object identification irrespective to geometric changes. Optical Engineering, 42(2): 551–559 (IF: 0.877).
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Matthias S. Keil. (2006). Smooth Gradient Representations as a Unifying Account of Chevreul’s Illusion, Mach Bands, and a Variant of the Ehrenstein Disk. NEURALCOMPUT - Neural Computation, 871–903.
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David Masip, & Jordi Vitria. (2006). Boosted discriminant projections for nearest neighbor classification. Pattern Recognition, 39(2): 164–170.
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Oriol Ramos Terrades, & Ernest Valveny. (2006). A new use of the ridgelets transform for describing linear singularities in images. PRL - Pattern Recognition Letters, 27(6), 587–596.
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Fadi Dornaika, & Angel Sappa. (2006). Improving Appearance-Based 3D Face Tracking Using Sparse Stereo Data.
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Angel Sappa. (2006). Unsupervised Contour Closure Algorithm for Range Image Edge-Based Segmentation. IEEE Transactions on Image Processing, 15(2):377–384.
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Carme Julia, Joan Serrat, Antonio Lopez, Felipe Lumbreras, & Daniel Ponsa. (2006). Motion segmentation through factorization. Application to night driving assistance.
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Jaume Garcia, Joel Barajas, Francesc Carreras, Sandra Pujades, & Petia Radeva. (2005). An intuitive validation technique to compare local versus global tagged MRI analysis. In Computers In Cardiology (Vol. 32, 29–32).
Abstract: Myocardium appears as a uniform tissue that seen in convectional Magnetic Resonance Images (MRI) shows just the contractile part of its movement. MR Tagging is a unique imaging technique that prints a grid over the tissue which moves according to the underlying movement of the myocardium revealing the true deformation of the cardiac muscle. Optical flow techniques based on spectral information estimate tissue displacement by analyzing information encoded in the phase maps which can be obtained using, local (Gabor) and global (HARP) methods. In this paper we compare both in synthetic and real Tagged MR sequences. We conclude that local method is slightly more accurate than the global one. On the other hand, global method is more efficient as it is much faster and less parameters have to be taken into account
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Fernando Lopez, J.M. Valiente, Ramon Baldrich, & Maria Vanrell. (2005). Fast surface grading using color statistics in the CIELab space. In Pattern Recognition and Image Analysis. IbPRIA 2005 (Vol. LNCS 3523, pp. 66–673).
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Oriol Ramos Terrades, & Ernest Valveny. (2005). Local Norm Features based on ridgelets Transform.
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Jaume Amores, N. Sebe, & Petia Radeva. (2006). Boosting the distance estimation: Application to the K-Nearest Neighbor Classifier. PRL - Pattern Recognition Letters, 27(3), 201–209.
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Joaquin Salas, Wendy Avalos, Rafael Castañeda, & Mario Maya. (2006). A machine-vision system to measure the parameters describing the performance of a Foucault pendulum. Machine Vision and Applications, 133–138.
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J. Nuñez, Xavier Otazu, & M.T. Merino. (2005). A Multiresolution-Based Method for the Determination of the Relative Resolution between Images. First Application to Remote Sensing and Medical Images. International Journal of Imaging Systems and Technology, 15(5): 225–235 (IF: 0.439).
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