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1 - 10 of 48 search results for TALK:Vb20 24 / |u:mi.eng.cam.ac.uk where 0 match all words and 48 match some words.

  1. Results that match 1 of 2 words

  2. A New Look at Filtering Techniques for Illumination Invariance ...

    mi.eng.cam.ac.uk/reports/svr-ftp/arandjelovic_AFG06.pdf
    30 Jan 2006: FaceDB100 64.1/9.2 73.6/22.5 58.3/24.3 17.0/ 8.8FaceDB60 81.8/9.6 79.3/18.6 46.6/28.3

  3. On Person Authentication by Fusing Visual and Thermal Face ...

    mi.eng.cam.ac.uk/reports/svr-ftp/arandjelovic_AVSS06.pdf
    1 Sep 2006: 10] A. M. Martinez. Recognizing imprecisely localized, partially oc-cluded and expression variant faces from a single sample per class.PAMI, 24(6), 2002.

  4. Automatic Cast Listing in Feature-Length Films with Anisotropic…

    mi.eng.cam.ac.uk/reports/svr-ftp/arandjelovic_CVPR06.pdf
    21 Mar 2006: Due to the smoothness of faces, each track corre-sponds to an appearance manifold [2, 22, 24], as illustratedin Fig. ... 24] B. Moghaddam and A. Pentland. Principal manifolds and probabilis-tic subspaces for visual recognition.PAMI, 24(6), 2002.2, 3.

  5. Face Recognition from Video using the GenericShape-Illumination…

    mi.eng.cam.ac.uk/reports/svr-ftp/arandjelovic_ECCV06.pdf
    17 Feb 2006: 24]). Briefly, we estimate multivariate Gaussian components using the ExpectationMaximization (EM) algorithm [14], initialized by k-means clustering. ... appearance. IJCV, 14:5–24, 1995.34. S. Palanivel, B. S. Venkatesh, and B Yegnanarayana.

  6. Face Set Classification using Maximally Probable Mutual Modes Ognjen…

    mi.eng.cam.ac.uk/reports/svr-ftp/arandjelovic_ICPR06.pdf
    29 Apr 2006: average 92.0 64.1 58.3 17.0std 7.8 9.2 24.3 8.8. video sequences of the person in arbitrary motion (signif-icant translation, yaw and pitch, ... cluded and expression variant faces from a single sample per class.PAMI, 24(6), 2002.

  7. Multi-Sensory Face Biometric Fusion (for Personal Identification)…

    mi.eng.cam.ac.uk/reports/svr-ftp/arandjelovic_OTCBVS06.pdf
    19 Mar 2006: 24] P. S. Penev. Dimensionality reduction by sparsification in a local-features representation of human faces. ... Ross and A. Jain. Information fusion in biometrics.PatternRecognition Letters, 24(13):2115–2125, 2003.

  8. Incremental Learning of Temporally-CoherentGaussian Mixture Models…

    mi.eng.cam.ac.uk/reports/svr-ftp/arandjelovic_SME06.pdf
    14 Mar 2006: 18] N. Vlassis and A Likas. A kurtosis-based dynamic approach to Gaussian mixture modeling.Systems, Max, and Cybernetics – Part A: Systems and Humans, 24(9):393–399, 1999.

  9. techreport_20060422MJ.dvi

    mi.eng.cam.ac.uk/reports/svr-ftp/brostow_Eurographics06.pdf
    14 Sep 2006: Pattern Analysis andMachine Intelligence, 24(6):748–763, 2002. [22] S. Obdržálek and J. ... ACM Siggraph, 2004. [24] Carsten Rother, Sanjiv Kumar, Vladimir Kolmogorov,and Andrew Blake.

  10. Unsupervised Bayesian Detection of Independent Motion in Crowds…

    mi.eng.cam.ac.uk/reports/svr-ftp/brostow_MotionInCrowdsCVPR06.pdf
    14 Sep 2006: 24, 18]. Both systems group an image’sspatial features, performing a global annealing optimizationthat propagates the certainty at distinct person-boundaries touncertain areas where those people’s outlines are ambigu-ous. ... 24] P. Tu and J.

  11. Reconstruction in the round using photometric normals. George…

    mi.eng.cam.ac.uk/reports/svr-ftp/hernandez_cvpr06.pdf
    19 Sep 2006: CACM, 24(6):381395,1981. 3. [5] D. Goldman, B. Curless, A. Hertzmann, and S.

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