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Author |
J. Pladellorens; Joan Serrat; A. Castell; M.J. Yzuel |
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Title |
Using mathematical morphology to determine left ventricular contours. |
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1993 |
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Physics in Medicine and Biology. |
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37 |
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1877––1894 |
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ADAS @ adas @ PSC1993 |
Serial |
146 |
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Author |
J. Pladellorens; M.J. Yzuel; J. Castell; Joan Serrat |
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Title |
Calculo automatico del volumen del ventriculo izquierdo. Comparacion con expertos. |
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1993 |
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Optica Pura y Aplicada. |
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26 |
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3 |
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685–691 |
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ADAS @ adas @ PYC1993 |
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149 |
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Author |
A.F. Sole; S. Ngan; G. Sapiro; X. Hu; Antonio Lopez |
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Title |
Anisotropic 2-D and 3-D Averaging of fMRI Signals |
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2001 |
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IEEE Transactions on Medical Imaging, 20(2): 86–93 (IF: 3.142) |
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ADAS @ adas @ SNS2001 |
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165 |
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Author |
Ricardo Toledo |
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Title |
Cardiac workstation and dynamic model to assist in coronary tree analysis. |
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2001 |
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PhD Thesis, Universitat Autonoma de Barcelona-CVC |
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Ph.D. thesis |
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Petia Radeva;JuanJose Villanueva |
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Admin @ si @ Tol2001 |
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166 |
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Author |
Antonio Lopez; David Lloret; Joan Serrat; Juan J. Villanueva |
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Title |
Multilocal Creaseness Based on the Level-Set Extrinsic Curvarture. |
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Miscellaneous |
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2000 |
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Computer Vision and Image Understanding, Academic Press, 77(2):111–144. |
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ADAS |
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ADAS @ adas @ LLS 2000 b |
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172 |
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Author |
Antonio Lopez |
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Title |
Multilocal Methods for Ridge and Valley Delineation in Image Analysis. |
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2000 |
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PhD Thesis, Universitat Autonoma de Barcelona-CVC |
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Ph.D. thesis |
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Joan Serrat |
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ADAS @ adas @ Lop2000 |
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174 |
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Author |
Felipe Lumbreras |
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Title |
Segmentation, classification and modelization of textures by means of multiresolution decomposition techniques. |
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2001 |
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PhD Thesis, Universitat Autonoma de Barcelona-CVC |
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ADAS |
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ADAS @ adas @ Lum2001 |
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188 |
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Author |
David Lloret; Antonio Lopez; Joan Serrat; Juan J. Villanueva |
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Title |
Creaseness-based computer tomography and magnetic resonance registration: Comparison with the mutual information method. |
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Miscellaneous |
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1999 |
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Journal of Electronic Imaging, 8(3):255–262 |
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This paper describes a method which uses the skull as a landmark for automatic registration of computer tomography to magnetic resonance (MR) images. First, the skull is extracted from both images using a new creaseness operator. Then, the resulting creaseness images are used to build a hierarchic structure which permits a robust and fast search. We have justified experimentally the performance of several choices of our algorithm, and we have thoroughly tested its accuracy and robustness against the well-known mutual information method for five different pairs of images. We have found both comparable, and for certain MR images the proposed method achieves better performance. |
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ADAS |
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ADAS @ adas @ LLS1999a |
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189 |
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Author |
J. Weickert; Bart M. Ter Haar Romeny; Antonio Lopez; W. Van Enk |
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Title |
Orientation Analysis by Coherence-Enhancing Diffusion. |
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1997 |
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Proc. of the Real World Computing Symposium. |
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ADAS |
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ADAS @ adas @ WTL1997 |
Serial |
211 |
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Author |
David Lloret; Joan Serrat; Antonio Lopez; A. Soler; Juan J. Villanueva |
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Title |
Retinal image registration using creases as anatomical landmarks. |
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Miscellaneous |
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2000 |
Publication |
15 th International Conference on Pattern Recognition, 3:207–210. |
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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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Barcelona. |
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ADAS @ adas @ LSL2000 c |
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233 |
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Author |
A. Pujol; Felipe Lumbreras; X. Varona; Juan J. Villanueva |
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Title |
Locating people in indoor scenes for real applications. |
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2000 |
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15 th International Conference on Pattern Recognition, 4:632–635. |
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Barcelona. |
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ADAS @ adas @ PLV2000 |
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237 |
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Author |
M.J. Yzuel; J. Pladellorens; Joan Serrat; A. Dupuy |
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Application restauration and edge detection techniques in the calculation of left ventricular volumes. |
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1993 |
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Optics in Medicine, Biology and Environmental Research : Selected contributions to the first International Conference on Optics within Life Sciences (OWLS I) |
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374-375 |
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Elsevier |
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ADAS @ adas @ YPS1993 |
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244 |
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Joan Serrat; J. Argemi; Juan J. Villanueva |
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Title |
Automatization of TW2 method using a knowledge-based image analysis system. |
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1991 |
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VIth International Congress of Auxology. |
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Madrid |
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ADAS @ adas @ SAV1991 |
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259 |
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David Vazquez; David Geronimo; Antonio Lopez |
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The effect of the distance in pedestrian detection |
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Report |
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2009 |
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CVC Technical Report |
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149 |
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Pedestrian Detection |
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Pedestrian accidents are one of the leading preventable causes of death. In order to reduce the number of accidents, in the last decade the pedestrian protection systems have been introduced, a special type of advanced driver assistance systems, in witch an on-board camera explores the road ahead for possible collisions with pedestrians in order to warn the driver or perform braking actions. As a result of the variability of the appearance, pose and size, pedestrian detection is a very challenging task. So many techniques, models and features have been proposed to solve the problem. As the appearance of pedestrians varies signi cantly as a function of distance, a system based on multiple classi ers specialized on diferent depths is likely to improve the overall performance with respect to a typical system based on a general detector. Accordingly, the main aim of this work is to explore the e ect of the distance in pedestrian detection. We have evaluated three pedestrian detectors (HOG, HAAR and EOH) in two di erent databases (INRIA and Daimler09) for two di erent sizes (small and big). By a extensive set of experiments we answer to questions like which datasets and evaluation methods are the most adequate, which is the best method for each size of the pedestrians and why or how do the method optimum parameters vary with respect to the distance |
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Master's thesis |
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M.Sc. |
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ADAS @ adas @ VGL2009 |
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1669 |
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Author |
David Lloret; Joan Serrat; Antonio Lopez; Juan J. Villanueva |
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Motion-induced error correction in ultrasound imaging. |
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2002 |
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1st. International Symposium on 3D Data Processing Visualization and Transmission 3DPTV. |
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ADAS @ adas @ LSL2002 |
Serial |
295 |
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