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David Geronimo |
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Title  |
Model Features and Horizon Line Estimation for Pedestrian Detection in Advanced Driver Assistance Systems |
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2006 |
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CVC Technical Report #98 |
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CVC (UAB) |
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Master's thesis |
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ADAS @ adas @ Ger2006 |
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737 |
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Author |
Carme Julia; Joan Serrat; Antonio Lopez; Felipe Lumbreras; Daniel Ponsa |
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Title |
Motion segmentation through factorization. Application to night driving assistance |
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Miscellaneous |
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2006 |
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International Conference on Computer Vision Theory and Applications, (2) |
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ADAS @ adas @ JSL2006a |
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638 |
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Author |
Eduard Vazquez; Francesc Tous; Ramon Baldrich; Maria Vanrell |
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Title |
n-Dimensional Distribution Reduction Preserving its Structure |
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2006 |
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Artificial Intelligence Research and Development, M. Polit et al. (Eds.), 146: 167–175 |
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IOS Press |
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CIC |
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CAT @ cat @ VTB2006a |
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681 |
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Fadi Dornaika; Franck Davoine |
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On appearance based face and facial action tracking |
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2006 |
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IEEE Transactions on Circuits and Systems for Video Technology, 16(9): 1838–1853 |
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Admin @ si @ DoD2006b |
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732 |
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Author |
Debora Gil; Jose Maria-Carazo; Roberto Marabini |
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Title |
On the nature of 2D crystal unbending |
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2006 |
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Journal of Structural Biology |
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156 |
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3 |
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546-555 |
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Electron microscopy |
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Crystal unbending, the process that aims to recover a perfect crystal from experimental data, is one of the more important steps in electron crystallography image processing. The unbending process involves three steps: estimation of the unit cell displacements from their ideal positions, extension of the deformation field to the whole image and transformation of the image in order to recover an ideal crystal. In this work, we present a systematic analysis of the second step oriented to address two issues. First, whether the unit cells remain undistorted and only the distance between them should be changed (rigid case) or should be modified with the same deformation suffered by the whole crystal (elastic case). Second, the performance of different extension algorithms (interpolation versus approximation) is explored. Our experiments show that there is no difference between elastic and rigid cases or among the extension algorithms. This implies that the deformation fields are constant over large areas. Furthermore, our results indicate that the main source of error is the transformation of the crystal image. |
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1047-8477 |
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IAM; |
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IAM @ iam @ GCM2006 |
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1519 |
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Author |
Agata Lapedriza; David Masip; Jordi Vitria |
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Title |
On the Use of External Face Features for Identity Verification |
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2006 |
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Journal of Multimedia, 1(4): 11–20 |
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1 |
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4 |
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11-20 |
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Face Verification, Computer Vision, Machine Learning |
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In general automatic face classification applications images are captured in natural environments. In these cases, the performance is affected by variations in facial images related to illumination, pose, occlusion or expressions. Most of the existing face classification systems use only the internal features information, composed by eyes, nose and mouth, since they are more difficult to imitate. Nevertheless, nowadays a lot of applications not related to security are developed, and in these cases the information located at head, chin or ears zones (external features) can be useful to improve the current accuracies. However, the lack of a natural alignment in these areas makes difficult to extract these features applying classic Bottom-Up methods. In this paper, we propose a complete scheme based on a Top-Down reconstruction algorithm to extract external features of face images. To test our system we have performed face verification experiments using public databases, given that identity verification is a general task that has many real life applications. We have considered images uniformly illuminated, images with occlusions and images with high local changes in the illumination, and the obtained results show that the information contributed by the external features can be useful for verification purposes, specially significant when faces are partially occluded. |
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OR;MV |
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BCNPCL @ bcnpcl @ LMV2006b |
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708 |
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Author |
Angel Sappa; David Geronimo; Fadi Dornaika; Antonio Lopez |
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Title |
On-board camera extrinsic parameter estimation |
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2006 |
Publication |
Electronics Letters |
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EL |
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42 |
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13 |
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745–746 |
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An efficient technique for real-time estimation of camera extrinsic parameters is presented. It is intended to be used on on-board vision systems for driving assistance applications. The proposed technique is based on the use of a commercial stereo vision system that does not need any visual feature extraction. |
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IEE |
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ADAS @ adas @ SGD2006a |
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655 |
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Author |
Oriol Pujol; Petia Radeva |
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Title |
Optimal extension of Error Correcting Output Codes |
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2006 |
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Perpignan (France) |
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MILAB;HuPBA |
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BCNPCL @ bcnpcl @ EPR2006d |
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695 |
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Author |
Michael Villamizar; A. Sanfeliu; Juan Andrade |
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Title |
Orientation Invariant Features for Multiclass Object Recognition |
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2006 |
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11th Iberoamerican Congress on Pattern Recognition (CIARP´06), LNCS 4225: 655–664 |
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Cancun (Mexico) |
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Admin @ si @ VSA2006b |
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664 |
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Author |
V. Kober; Mikhail Mozerov; J. Alvarez-Borrego; I.A. Ovseyevich |
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Pattern Recognition of Fragmented Objects with Adaptive Correlation Filters |
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2006 |
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Topical Meeting on Optoinformatics / Information Photonics, 150–151 |
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Saint-Petersburg (Russia) |
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ISE @ ise @ KMA2006b |
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674 |
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F. Pla; Petia Radeva; Jordi Vitria |
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Title |
Pattern Recognition: Progress, Directions and Applications |
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2006 |
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84-933652-6-2 |
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OR;MILAB;MV |
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BCNPCL @ bcnpcl @ PRV2006b |
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771 |
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David Geronimo; Angel Sappa; Antonio Lopez; Daniel Ponsa |
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Title |
Pedestrian Detection Using AdaBoost Learning of Features and Vehicle Pitch Estimation |
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2006 |
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6th IASTED International Conference on Visualization, Imaging and Image Processing |
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VIIP |
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400–405 |
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ADAS, pedestrian detection, adaboost learning, pitch estimation, haar wavelets, edge orientation histograms. |
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In this paper we propose a combination of different Haar filter sets and Edge Orientation Histograms (EOH) in order to learn a model for pedestrian detection. As we will show, with the addition of EOH we obtain better ROCs than using Haar filters alone. Hence, a model consisting of discriminant features, selected by AdaBoost, is applied at pedestrian-sized image windows in order to perform
the classification. Additionally, taking into account the final application, a driver assistance system with realtime requirements, we propose a novel stereo-based camera pitch estimation to reduce the number of explored windows.
With this approach, the system can work in urban roads, as will be illustrated by current results. |
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Palma de Mallorca (Spain) |
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ADAS @ adas @ GSL2006 |
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672 |
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Author |
Jose Antonio Rodriguez |
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Title |
Pen-based Interfaces and Recognition: Application to Proofreading Interpretation |
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2006 |
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CVC Technical Report #96 |
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Admin @ si @ Rod2006 |
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669 |
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Jaume Rodriguez; S. Yacoub; Gemma Sanchez; Josep Llados |
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Performance Evaluation, Comparison and Combination of Commercial Handwriting Recognition Engines |
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2006 |
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CVC Technical Report #93 |
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DAG @ dag @ RYS2006 |
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657 |
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Oriol Rodriguez-Leor; Eduard Fernandez-Nofrerias; J. Mauri; Vicente del Valle; Debora Gil; A.Barrios; E.Garcia; Petia Radeva |
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Perfusion ratio: A new tool to objectively assess microcirculation perfusion after primary Percutaneous Coronary Intervention |
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2006 |
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World Congress of Cardiology |
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859 |
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Barcelona (Spain) |
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IAM @ iam @ RFM2006c |
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1643 |
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