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Volumn 28, Issue 15, 2007, Pages 2003-2010

Performance of similarity measures based on histograms of local image feature vectors

Author keywords

Block transform; Face image retrieval; Feature vector; Pattern recognition

Indexed keywords

DATABASE SYSTEMS; FEATURE EXTRACTION; IMAGE RETRIEVAL; MATHEMATICAL TRANSFORMATIONS; STATISTICS; VECTOR QUANTIZATION;

EID: 34548704287     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2007.05.019     Document Type: Article
Times cited : (26)

References (22)
  • 1
    • 33749849734 scopus 로고    scopus 로고
    • Chunghoon, K., Jiyong, O., Chong-Ho, C., 2005. Combined Subspace Method Using Global and Local Features for Face Recognition. In: Proc. of Int. Joint Conf. on Neural Networks.
  • 2
    • 33646697374 scopus 로고    scopus 로고
    • Independent Comparative Study of PCA, ICA, and LDA on the FERET Data Set
    • Delac K., Grgic M., and Grgic S. Independent Comparative Study of PCA, ICA, and LDA on the FERET Data Set. Int. J. Imaging Syst. Technol. 15 5 (2006) 252-260
    • (2006) Int. J. Imaging Syst. Technol. , vol.15 , Issue.5 , pp. 252-260
    • Delac, K.1    Grgic, M.2    Grgic, S.3
  • 3
    • 34548677611 scopus 로고    scopus 로고
    • Erik, H., 2000. Biometric Systems: A Face Recognition Approach. In: Proc. of the Norwegian Conf. on Informatics, pp. 189-197.
  • 4
    • 34548700701 scopus 로고    scopus 로고
    • FERET Face Database, 2003. Available from: http://www.itl.nist.gov/iad/humanid/feret/. National Institute of Standards and Technology, USA.
  • 5
    • 0025452199 scopus 로고
    • Texture unit, texture spectrum, and texture analysis
    • He D.-C., and Wang L. Texture unit, texture spectrum, and texture analysis. IEEE Trans. Geo Sci. Remote Sens. 28 1 (1990) 509-513
    • (1990) IEEE Trans. Geo Sci. Remote Sens. , vol.28 , Issue.1 , pp. 509-513
    • He, D.-C.1    Wang, L.2
  • 7
    • 34548696256 scopus 로고    scopus 로고
    • Jones, M., Viola, P., 2003. Face recognition using boosted local features. In: Proc. of Int. Conf. on Computer Vision.
  • 8
    • 34548693521 scopus 로고    scopus 로고
    • JVT of ITU-T and ISO/IEC JTC 1, 2003. Draft ITU-T Recommendation and Final Draft International Standard of Joint Video Specification (ITU-T Rec. H.264 {divides} ISO/IEC 14496-10 AVC). Joint Video Team (JVT) of ISO/IEC MPEG and ITU-T VCEG, JVT-G050.
  • 9
    • 0036447828 scopus 로고    scopus 로고
    • Kotani, K., Qiu, C., Ohmi, T., 2002. Face Recognition Using Vector Quantization Histogram Method. In: Proc. of Int. Conf. on Image Process., II-105.
  • 10
    • 34548698771 scopus 로고    scopus 로고
    • Kyungim, B., Bruce, A.D., J.Ross, B., Kai, S., 2002. PCA vs. ICA: A comparison on the FERET data set. In: Proc. of Int. Conf. on Computer Vision. Pattern Recognition and Image Proceeding, Durham, North Carolina.
  • 11
    • 0029669420 scopus 로고    scopus 로고
    • A comparative study of texture measures with classification based on feature distributions
    • Ojala T., Pietikäinen M., and Harwood D. A comparative study of texture measures with classification based on feature distributions. Pattern Recognit. 29 1 (1996) 51-59
    • (1996) Pattern Recognit. , vol.29 , Issue.1 , pp. 51-59
    • Ojala, T.1    Pietikäinen, M.2    Harwood, D.3
  • 12
    • 34548676694 scopus 로고    scopus 로고
    • ORL Face Database, 2005. Available from: http://www.cl.cam.ac.uk/research/dtg/attarchive/facedatabase.html. AT&T Laboratories, Cambridge.
  • 14
    • 84905385796 scopus 로고    scopus 로고
    • Rahul, S., Matthew, M., Shumeet, B., 2000. Memory-based face recognition for visitor identification. In: Proc. of IEEE Face and Gesture.
  • 15
    • 37649026518 scopus 로고    scopus 로고
    • Roure, J., Faundez, Z.M., 2005. Face recognition with small and large size databases. In: Proc. of 39th Annual 2005 Int. Carnahan Conf. on Security Technology.
  • 16
    • 34548566212 scopus 로고    scopus 로고
    • Shi, J., Samala, A., Marx, D., 2005. Face Recognition Using Landmark-Based Bidimensional Regression. In: Proc. of ICDM 2005, pp. 765-768.
  • 17
    • 33645821651 scopus 로고    scopus 로고
    • How Effective are Landmarks and Their Geometry for Face Recognition
    • Shi J., Samala A., and Marx D. How Effective are Landmarks and Their Geometry for Face Recognition. Comput. Vis. Image Understand. 102 2 (2006) 117-133
    • (2006) Comput. Vis. Image Understand. , vol.102 , Issue.2 , pp. 117-133
    • Shi, J.1    Samala, A.2    Marx, D.3
  • 18
    • 42749108141 scopus 로고    scopus 로고
    • Travieso, C.M., Alonso, J.B., Ferrer, M.A., 2005. Strategy for improving the reliability in the facial identification. In: Proc. of 39th Annual 2005 Int.Carnahan Conf. Security Technology.
  • 19
    • 24644478713 scopus 로고    scopus 로고
    • Xiangsheng, H., Li, S.Z., Yangsheng, W., 2005. Jensen-Shannon boosting learning for object recognition. In: Proc. of CVPR 2005, 2, pp. 144-149.
  • 20
    • 0035481054 scopus 로고    scopus 로고
    • Empirical evaluation of dissimilarity measures for color and texture
    • Yossi R., Jan P., Carlo T., and Joachim M.B. Empirical evaluation of dissimilarity measures for color and texture. Comput. Vis. Image Understand. 84 1 (2001) 25-43
    • (2001) Comput. Vis. Image Understand. , vol.84 , Issue.1 , pp. 25-43
    • Yossi, R.1    Jan, P.2    Carlo, T.3    Joachim, M.B.4
  • 22
    • 25644459157 scopus 로고    scopus 로고
    • DCT histogram optimization for image database retrieval
    • Zhong D., and Defée I. DCT histogram optimization for image database retrieval. Pattern Recognit. Lett. 26 14 (2005) 2272-2281
    • (2005) Pattern Recognit. Lett. , vol.26 , Issue.14 , pp. 2272-2281
    • Zhong, D.1    Defée, I.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.