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Author |
D. Lloret; Antonio Lopez; Joan Serrat |
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3-D image Processing and Modeling, workshop on non-linear model-based image analysis. |
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1998 |
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NMBIA |
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Glasgow, U.K. |
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ADAS @ adas @ LLS1998c |
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15 |
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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 |
Ignasi Rius; Dani Rowe; Jordi Gonzalez; Xavier Roca |
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Title |
3D Action Modeling and Reconstruction for 2D Human Body Tracking |
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2005 |
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3rd International Conference on Advances in Pattern Recognition (ICAPR’2005), Pattern Recognition and Image Analysis, LNCS 3687: 146–154, ISBN 978–3–540–28833–6 |
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Bath (United Kingdom) |
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ISE @ ise @ RRG2005c |
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578 |
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Rada Deeb; Damien Muselet; Mathieu Hebert; Alain Tremeau; Joost Van de Weijer |
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Title |
3D color charts for camera spectral sensitivity estimation |
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2017 |
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28th British Machine Vision Conference |
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Estimating spectral data such as camera sensor responses or illuminant spectral power distribution from raw RGB camera outputs is crucial in many computer vision applications.
Usually, 2D color charts with various patches of known spectral reflectance are
used as reference for such purpose. Deducing n-D spectral data (n»3) from 3D RGB inputs is an ill-posed problem that requires a high number of inputs. Unfortunately, most of the natural color surfaces have spectral reflectances that are well described by low-dimensional linear models, i.e. each spectral reflectance can be approximated by a weighted sum of the others. It has been shown that adding patches to color charts does not help in practice, because the information they add is redundant with the information provided by the first set of patches. In this paper, we propose to use spectral data of
higher dimensionality by using 3D color charts that create inter-reflections between the surfaces. These inter-reflections produce multiplications between natural spectral curves and so provide non-linear spectral curves. We show that such data provide enough information for accurate spectral data estimation. |
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London; September 2017 |
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BMVC |
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LAMP; 600.109; 600.120 |
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Admin @ si @ DMH2017b |
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3037 |
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Author |
Cristina Cañero; Petia Radeva; Ricardo Toledo; Juan J. Villanueva; J. Mauri |
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Title |
3D Curve Reconstruction by Biplane Snakes. |
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2000 |
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15 th International Conference on Pattern Recognition, 4:563–566. |
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Barcelona. |
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MILAB;ADAS |
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BCNPCL @ bcnpcl @ CRT2000 |
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238 |
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Petia Radeva; Ricardo Toledo; Craig Von Land; Juan J. Villanueva |
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Title |
3D Dynamic Model of the Coronary Tree. |
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1998 |
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Cleveland, OH |
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MILAB;ADAS |
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BCNPCL @ bcnpcl @ RTV1998b |
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200 |
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Author |
Fadi Dornaika; Bogdan Raducanu |
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3D Face Pose Detection and Tracking Using Monocular Videos: Tool and Application |
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2008 |
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IEEE Transactions on Systems, Man and Cybernetics (Part B) (IEEE) |
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OR;MV |
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BCNPCL @ bcnpcl @ DoR2008d |
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1109 |
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Author |
Fadi Dornaika; Angel Sappa |
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Title |
3D Face Tracking using Appearance Registration and Robust Iterative Closest Point Algorithm |
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2006 |
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21st International Symposium on Computer and Information Sciences (ISCIS´06), LNCS 4263: 532–541 |
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Istanbul (Turkey) |
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ADAS |
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ADAS @ adas @ DoS2006d |
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688 |
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Author |
Angel Sappa; Niki Aifanti; Sotiris Malassiotis; Michael G. Strintzis |
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Title |
3D Gait Estimation from Monoscopic Video |
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2004 |
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IEEE International Conference on Image Processing |
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Singapore |
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ADAS @ adas @ SAM2004c |
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495 |
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Ajian Liu; Chenxu Zhao; Zitong Yu; Anyang Su; Xing Liu; Zijian Kong; Jun Wan; Sergio Escalera; Hugo Jair Escalante; Zhen Lei; Guodong Guo |
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Title |
3D High-Fidelity Mask Face Presentation Attack Detection Challenge |
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2021 |
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IEEE/CVF International Conference on Computer Vision Workshops |
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814-823 |
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The threat of 3D mask to face recognition systems is increasing serious, and has been widely concerned by researchers. To facilitate the study of the algorithms, a large-scale High-Fidelity Mask dataset, namely CASIA-SURF HiFiMask (briefly HiFiMask) has been collected. Specifically, it consists of total amount of 54,600 videos which are recorded from 75 subjects with 225 realistic masks under 7 new kinds of sensors. Based on this dataset and Protocol 3 which evaluates both the discrimination and generalization ability of the algorithm under the open set scenarios, we organized a 3D High-Fidelity Mask Face Presentation Attack Detection Challenge to boost the research of 3D mask based attack detection. It attracted more than 200 teams for the development phase with a total of 18 teams qualifying for the final round. All the results were verified and re-ran by the organizing team, and the results were used for the final ranking. This paper presents an overview of the challenge, including the introduction of the dataset used, the definition of the protocol, the calculation of the evaluation criteria, and the summary and publication of the competition results. Finally, we focus on introducing and analyzing the top ranked algorithms, the conclusion summary, and the research ideas for mask attack detection provided by this competition. |
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Virtual; October 2021 |
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ICCVW |
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HUPBA; no proj |
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Admin @ si @ LZY2021 |
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3646 |
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