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Agata Lapedriza; David Masip; Jordi Vitria |
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The contribution of external features to face recognition |
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2005 |
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Pattern Recognition and Image Analysis (IbPRIA 2005), LNCS 3523: 537–544 |
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Estoril (Portugal) |
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BCNPCL @ bcnpcl @ LMV2005a |
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546 |
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Agata Lapedriza; David Masip; Jordi Vitria |
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Are external face features useful for automatic face classification? |
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2005 |
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IEEE Workshop on Face Recognition Grand Challenge Experiments, 151–ff |
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San Diego; CA; USA; |
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BCNPCL @ bcnpcl @ LMV2005b |
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547 |
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Agata Lapedriza; David Masip; Jordi Vitria |
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Title |
Face Verification using External Features |
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Miscellaneous |
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2006 |
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7th International Conference on Automatic Face and Gesture Recognition (FG´06), 132– 137 |
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Southampton (United Kingdom) |
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OR;MV |
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BCNPCL @ bcnpcl @ LMV2006a |
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707 |
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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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BCNPCL @ bcnpcl @ LMV2006b |
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708 |
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Agata Lapedriza; David Masip; Jordi Vitria |
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Title |
A Hierarchical Approach for Multi-task Logistic Regression |
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Conference Article |
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2007 |
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3rd Iberian Conference on Pattern Recognition and Image Analysis |
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4478 |
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258–265 |
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Girona (Spain) |
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J. Marti et al. |
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IbPRIA |
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OR; MV |
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BCNPCL @ bcnpcl @ LMV2007a |
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902 |
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Agata Lapedriza; David Masip; Jordi Vitria |
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Title |
Subject Recognition Using a New Approach for Feature Extraction |
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2008 |
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3rd International Conference on Computer Vision Theory and Applications |
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2 |
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61–66 |
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Madeira (Portugal) |
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VISAPP |
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BCNPCL @ bcnpcl @ LMV2008a |
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980 |
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Agata Lapedriza; David Masip; Jordi Vitria |
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Title |
On the Use of Independent Tasks for Face Recognition |
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2008 |
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IEEE Computer Society Conference on Computer Vision and Pattern Recognition |
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1–6 |
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CVPR |
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BCNPCL @ bcnpcl @ LMV2008b |
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1043 |
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