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Volumn 8 LNEE, Issue , 2008, Pages 57-77

Wald's sequential analysis for time-constrained vision problems

Author keywords

[No Author keywords available]

Indexed keywords

3D RECONSTRUCTION; ADABOOST LEARNING; ALGORITHMIC SOLUTIONS; CASCADE OF CLASSIFIERS; CLASSIFICATION ,; CLASSIFICATION ERRORS; DECISION PROBLEMS; FACE DETECTION; FACE DETECTION PROBLEM; FALSE NEGATIVES; FALSE POSITIVE; INTEREST POINTS; MATCHING PROBLEMS; QUASI-OPTIMAL; RANSAC ALGORITHM; REAL-TIME DETECTION; REAL-TIME RESPONSE; SEQUENTIAL ANALYSIS; SEQUENTIAL PROBABILITY RATIO TEST; VISION PROBLEMS;

EID: 78651576588     PISSN: 18761100     EISSN: 18761119     Source Type: Book Series    
DOI: 10.1007/978-0-387-75523-6_5     Document Type: Conference Paper
Times cited : (1)

References (25)
  • 1
    • 0019574599 scopus 로고
    • Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography
    • Fischler, M., Bolles, R.: Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography. CACM 24(6), 381-395 (1981)
    • (1981) CACM , vol.24 , Issue.6 , pp. 381-395
    • Fischler, M.1    Bolles, R.2
  • 2
    • 0031211090 scopus 로고    scopus 로고
    • A decision-theoretic generalization of on-line learning and an application to boosting
    • Freund, Y., Schapire, R.: A decision-theoretic generalization of on-line learning and an application to boosting. Journal of Computer and System Sciences 55(1), 119-139 (1997)
    • (1997) Journal of Computer and System Sciences , vol.55 , Issue.1 , pp. 119-139
    • Freund, Y.1    Schapire, R.2
  • 3
    • 78651581843 scopus 로고    scopus 로고
    • Friedman, J., Hastie, T., Tibshirani, R.: Additive logistic regression: a statistical view of boosting. Tech. rep., Department of Statistics, Sequoia Hall, Stanford Univerity (1998)
    • Friedman, J., Hastie, T., Tibshirani, R.: Additive logistic regression: a statistical view of boosting. Tech. rep., Department of Statistics, Sequoia Hall, Stanford Univerity (1998)
  • 6
    • 84937578295 scopus 로고    scopus 로고
    • Li, S., Zhu, L., Zhang, Z., Blake, A., Zhang, H., Shum, H.: Statistical learning of multi-view face detection. In: ECCV, p. IV: 67 ff. (2002)
    • Li, S., Zhu, L., Zhang, Z., Blake, A., Zhang, H., Shum, H.: Statistical learning of multi-view face detection. In: ECCV, p. IV: 67 ff. (2002)
  • 8
    • 33745902531 scopus 로고    scopus 로고
    • Randomized ransac with sequential probability ratio test
    • S. Ma, H.Y. Shum eds, IEEE Computer Society Press, New York, USA
    • Matas, J., Chum, O.: Randomized ransac with sequential probability ratio test. In: S. Ma, H.Y. Shum (eds.) Proc. IEEE International Conference on Computer Vision (ICCV), vol. II, pp. 1727-1732. IEEE Computer Society Press, New York, USA (2005)
    • (2005) Proc. IEEE International Conference on Computer Vision (ICCV) , vol.2 , pp. 1727-1732
    • Matas, J.1    Chum, O.2
  • 9
    • 9644260534 scopus 로고    scopus 로고
    • Scale and affine invariant interest point detectors
    • URL
    • Mikolajczyk, K., Schmid, C.: Scale and affine invariant interest point detectors. International Journal of Computer Vision 60(1), 63-86 (2004). URL http://lear.inrialpes.fr/pubs/2004/MS04
    • (2004) International Journal of Computer Vision , vol.60 , Issue.1 , pp. 63-86
    • Mikolajczyk, K.1    Schmid, C.2
  • 11
    • 0344551922 scopus 로고    scopus 로고
    • Preemptive RANSAC for live structure and motion estimation
    • Nister, D.: Preemptive RANSAC for live structure and motion estimation. In: Proc. ICCV03, vol. I, pp. 199-206 (2003)
    • (2003) Proc. ICCV03 , vol.1 , pp. 199-206
    • Nister, D.1
  • 12
    • 0031672526 scopus 로고    scopus 로고
    • Neural network-based face detection
    • Rowley, H., Baluja, S., Kanade, T.: Neural network-based face detection. PAMI 20(1), 23-38 (1998)
    • (1998) PAMI , vol.20 , Issue.1 , pp. 23-38
    • Rowley, H.1    Baluja, S.2    Kanade, T.3
  • 13
    • 0033281701 scopus 로고    scopus 로고
    • Schapire, R.E., Singer, Y.: Improved boosting algorithms using confidence-rated predictions. Machine Learning pp. 37(3): 297-336 (1999)
    • Schapire, R.E., Singer, Y.: Improved boosting algorithms using confidence-rated predictions. Machine Learning pp. 37(3): 297-336 (1999)
  • 14
    • 0003545910 scopus 로고
    • Multivariate Density Estimation: Theory, Practice, and Visualization
    • John Wiley & Sons
    • Scott, D.W.: Multivariate Density Estimation: Theory, Practice, and Visualization. Wiley Series in Probability and Mathematical Statistics. John Wiley & Sons (1992)
    • (1992) Wiley Series in Probability and Mathematical Statistics
    • Scott, D.W.1
  • 15
    • 24644524727 scopus 로고    scopus 로고
    • WaldBoost - learning for time constrained sequential detection
    • C. Schmid, S. Soatto, C. Tomasi eds, IEEE Computer Society, Los Alamitos, California, USA
    • Šochman, J., Matas, J.: WaldBoost - learning for time constrained sequential detection. In: C. Schmid, S. Soatto, C. Tomasi (eds.) Proc. of Conference on Computer Vision and Pattern Recognition (CVPR), vol. 2, pp. 150-157. IEEE Computer Society, Los Alamitos, California, USA (2005)
    • (2005) Proc. of Conference on Computer Vision and Pattern Recognition (CVPR) , vol.2 , pp. 150-157
    • Šochman, J.1    Matas, J.2
  • 16
    • 78651527379 scopus 로고    scopus 로고
    • Šochman, J., Matas, J.: Learning a fast emulator of a binary decision process. In: ACCV (2007)
    • Šochman, J., Matas, J.: Learning a fast emulator of a binary decision process. In: ACCV (2007)
  • 17
    • 84947572028 scopus 로고
    • Learning human face detection in cluttered scenes
    • URL
    • Sung, K.K., Poggio, T.: Learning human face detection in cluttered scenes. In: Computer Analysis of Images and Patterns, pp. 432-439 (1995). URL citeseer.nj.nec.com/sung95learning.html
    • (1995) Computer Analysis of Images and Patterns , pp. 432-439
    • Sung, K.K.1    Poggio, T.2
  • 18
    • 84944414878 scopus 로고    scopus 로고
    • Guided sampling and consensus for motion estimation
    • Springer-Verlag
    • Tordoff, B., Murray, D.: Guided sampling and consensus for motion estimation. In: Proc. 7th ECCV, vol. 1, pp. 82-96. Springer-Verlag (2002)
    • (2002) Proc. 7th ECCV , vol.1 , pp. 82-96
    • Tordoff, B.1    Murray, D.2
  • 19
    • 0032166743 scopus 로고    scopus 로고
    • Robust detection of degenerate configurations while estimating the fundamental matrix
    • Torr, P., Zisserman, A., Maybank, S.: Robust detection of degenerate configurations while estimating the fundamental matrix. CVIU 71(3), 312-333 (1998)
    • (1998) CVIU , vol.71 , Issue.3 , pp. 312-333
    • Torr, P.1    Zisserman, A.2    Maybank, S.3
  • 21
    • 0033894631 scopus 로고    scopus 로고
    • MLESAC: A new robust estimator with application to estimating image geometry
    • URL
    • Torr, P.H.S., Zisserman, A.: MLESAC: A new robust estimator with application to estimating image geometry. CVIU 78, 138-156 (2000). URL http://www.robots.ox.ac.uk/~vgg/vggpapers/Torr2000.ps.gz
    • (2000) CVIU , vol.78 , pp. 138-156
    • Torr, P.H.S.1    Zisserman, A.2
  • 22
    • 78651528307 scopus 로고    scopus 로고
    • Viola, P., Jones, M.: Robust real time object detection. In: SCTV. Vancouver, Canada (2001)
    • Viola, P., Jones, M.: Robust real time object detection. In: SCTV. Vancouver, Canada (2001)
  • 24
    • 4544255195 scopus 로고    scopus 로고
    • Wu, B., AI, H., Huang, C., Lao, S.: Fast rotation invariant multi-view face detection based on real adaboost. In: FGR (2004)
    • Wu, B., AI, H., Huang, C., Lao, S.: Fast rotation invariant multi-view face detection based on real adaboost. In: FGR (2004)
  • 25
    • 0344551825 scopus 로고    scopus 로고
    • Boosting chain learning for object detection
    • Xiao, R., Zhu, L., Zhang, H.: Boosting chain learning for object detection. In: ICCV, pp. 709-715 (2003)
    • (2003) ICCV , pp. 709-715
    • Xiao, R.1    Zhu, L.2    Zhang, H.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.