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Author  |
J. Martinez |
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Title |
Automotive sector and Machine Vision. |
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Miscellaneous |
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2002 |
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European Integrated Machine Vision, 1: 2, Special Edition: Automative and Glass. |
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Admin @ si @ 37316 |
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270 |
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Author |
J. Martinez; Eva Costa; P. Herreros; Antonio Lopez; Juan J. Villanueva |
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Title |
TV-Screen Quality Inspection by Artificial Vision |
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Miscellaneous |
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2003 |
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Proceedings of the Sixth International Conference on Quality Control by Artificial Vision (QCAV 2003) |
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A real-time vision system for TV screen quality inspection is introduced. The whole system consists of eight cameras and one processor per camera. It acquires and processes 112 images in 6 seconds. The defects to be inspected can be grouped into four main categories (bubble, line-out, line reduction and landing) although there exists a large variability among each particular type of defect. The complexity of the whole inspection process has been reduced by dividing images into smaller ones and grouping the defects into frequency and intensity relevant ones. Tools such as mathematical morphology, Fourier transform, profile analysis and classification have been used. The performance of the system has been successfully proved against human operators in normal production conditions. |
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Gatlinburg, (EEUU) |
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ADAS @ adas @ MCH2003a |
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393 |
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Author |
J. Martinez; Eva Costa; P. Herreros; F. Javier Sanchez; Ramon Baldrich |
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Title |
A Modular and Scalable Architecture for PC-Based Real-Time Vision Systems |
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2003 |
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Real–Time Imaging, 9: 99–112 (IF: 0.512) |
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CAT @ cat @ MCH2003b |
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394 |
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Author |
J. Martinez; F. Thomas |
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Title |
Efficient Computation of Local Geometric Moments |
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2002 |
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IEEE Transactions on Image Porcessing, 11(9): 1102–1111 (IF: 2.553) |
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Admin @ si @ MaT2002 |
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271 |
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Author |
J. Mauri; E Fernandez-Nofrerias; A. Tovar; E. Martinez; L. Cano; V. Valle; David Rotger; Cristina Cañero; Petia Radeva |
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Title |
Ecografia Intracoronaria: Un Nou Pas, la Fusio de Imatges amb la Angiografia, el Software. |
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2001 |
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Revista de la Societat Catalana de Cardiologia, XIIIe Congres de la Societat Catalana de Cardiologia, 4(1):48. |
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MILAB |
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BCNPCL @ bcnpcl @ MFT2001 |
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136 |
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Author |
J. Mauri; E Fernandez-Nofrerias; E. Esplugas; A. Cequier; David Rotger; Ricardo Toledo; Petia Radeva; ; Juan J. Villanueva |
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Title |
Ecografia Intracoronaria: Navegacion Informatica por el cubo de datos de las imagenes. |
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Miscellaneous |
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2000 |
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Congreso de la Sociedad Española de Cardiologia. |
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Granada. |
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MILAB;ADAS |
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no |
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BCNPCL @ bcnpcl @ MNE2000 |
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356 |
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Author |
J. Mauri; E Fernandez-Nofrerias; Petia Radeva; V. Valle |
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Title |
Ecografia intracoronaria, una ajuda o un mestre en lintervencionisme coronari?" |
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Miscellaneous |
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2000 |
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Revista de la Societat Catalana de Cardiologia, 3, 435–443. |
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MILAB |
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BCNPCL @ bcnpcl @ MFR2000 |
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437 |
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Author |
J. Mauri; E. Esplugas; B. Garcia del Blanco; E Fernandez-Nofrerias; A. Cequier; J.A. Gomez-Hospital; Petia Radeva; Ricardo Toledo; Cristina Cañero; Juan J. Villanueva |
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Title |
3-D Stent and Vessel Reconstruction from IVUS: a Physics-Based Approach |
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Miscellaneous |
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2000 |
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European Heart Journal, Vol.21, XXII Congreso of the European Society of Cardiology |
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MILAB;ADAS |
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BCNPCL @ bcnpcl @ MEG2000 |
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440 |
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Author |
J. Nuñez; O. Fors; Xavier Otazu; Vicenç Pala; Roman Arbiol; M.T. Merino |
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Title |
A Wavelet-Based Method for the Determination of the Relative Resolution Between Remotely Sensed Images |
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2006 |
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IEEE Transactions on Geoscience and Remote Sensing, 44(9): 2539–2548 |
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CAT @ cat @ NFO2006 |
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660 |
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Author |
J. Nuñez; Xavier Otazu; M.T. Merino |
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A Multiresolution-Based Method for the Determination of the Relative Resolution between Images. First Application to Remote Sensing and Medical Images |
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2005 |
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International Journal of Imaging Systems and Technology, 15(5): 225–235 (IF: 0.439) |
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CAT @ cat @ NOM2005 |
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645 |
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Author |
J. Oliver; Ricardo Toledo; J. Pujol; J. Sorribes; E. Valderrama |
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Title |
Un ABP basado en la robotica para las ingenierias informaticas |
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Miscellaneous |
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2009 |
Publication |
15th Jornadas de Enseñanza Universitaria de la Informatica |
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331–338 |
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Barcelona, Spain |
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ISBN:978–84–692–2758–9 |
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JENUI |
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Admin @ si @ OTP2009 |
Serial |
1253 |
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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 |
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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 |
J. Queralt |
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Title |
Un metode de vectoritzacio basat en la correspondencia de contorns i en la Teoria de Grafs |
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2000 |
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CVC Technical Report #39 |
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CVC (UAB) |
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Admin @ si @ Que2000 |
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340 |
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Author |
J. Stöttinger; A. Hanbury; N. Sebe; Theo Gevers |
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Title |
Spars Color Interest Points for Image Retrieval and Object Categorization |
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2012 |
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IEEE Transactions on Image Processing |
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TIP |
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21 |
Issue |
5 |
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2681-2692 |
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Impact factor 2010: 2.92
IF 2011/2012?: 3.32
Interest point detection is an important research area in the field of image processing and computer vision. In particular, image retrieval and object categorization heavily rely on interest point detection from which local image descriptors are computed for image matching. In general, interest points are based on luminance, and color has been largely ignored. However, the use of color increases the distinctiveness of interest points. The use of color may therefore provide selective search reducing the total number of interest points used for image matching. This paper proposes color interest points for sparse image representation. To reduce the sensitivity to varying imaging conditions, light-invariant interest points are introduced. Color statistics based on occurrence probability lead to color boosted points, which are obtained through saliency-based feature selection. Furthermore, a principal component analysis-based scale selection method is proposed, which gives a robust scale estimation per interest point. From large-scale experiments, it is shown that the proposed color interest point detector has higher repeatability than a luminance-based one. Furthermore, in the context of image retrieval, a reduced and predictable number of color features show an increase in performance compared to state-of-the-art interest points. Finally, in the context of object recognition, for the Pascal VOC 2007 challenge, our method gives comparable performance to state-of-the-art methods using only a small fraction of the features, reducing the computing time considerably. |
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1057-7149 |
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Admin @ si @ SHS2012 |
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1847 |
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