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Volumn 4522 LNCS, Issue , 2007, Pages 374-382

Covariance estimation for SAD block matching

Author keywords

[No Author keywords available]

Indexed keywords

GESTURE RECOGNITION; INFORMATION ANALYSIS; VIRTUAL REALITY;

EID: 35648966715     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-73040-8_38     Document Type: Conference Paper
Times cited : (1)

References (7)
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    • 33845409322 scopus 로고    scopus 로고
    • Skoglund, J., Felsberg, M.: Evaluation of subpixel tracking algorithms. In: ISVC (2), pp. 374-382 (2006)
    • Skoglund, J., Felsberg, M.: Evaluation of subpixel tracking algorithms. In: ISVC (2), pp. 374-382 (2006)
  • 3
    • 0003473124 scopus 로고    scopus 로고
    • Prentice hall, Englewood Cliffs
    • Ljung, L.: Sytem Identifiaction. Prentice hall, Englewood Cliffs (1999)
    • (1999) Sytem Identifiaction
    • Ljung, L.1
  • 4
    • 0034857381 scopus 로고    scopus 로고
    • Kanazawa, Y., Kanatani, K.: Do we really have to consider covariance matrices for image features? ICCV 02, 301 (2001)
    • Kanazawa, Y., Kanatani, K.: Do we really have to consider covariance matrices for image features? ICCV 02, 301 (2001)
  • 5
    • 0030109465 scopus 로고    scopus 로고
    • Mean and variance of implicitly defined biased estimators (such as penalized maximum likelihood): Applications to tomography
    • Fessier, J.A.: Mean and variance of implicitly defined biased estimators (such as penalized maximum likelihood): applications to tomography. IEEE Tr. Im. Proc. 5(3), 493-506 (1996)
    • (1996) IEEE Tr. Im. Proc , vol.5 , Issue.3 , pp. 493-506
    • Fessier, J.A.1
  • 6
    • 24644508030 scopus 로고    scopus 로고
    • Feature kernel functions: Improving SVMs using high-level knowledge
    • Sun, Q., DeJong, G.: Feature kernel functions: Improving SVMs using high-level knowledge. In: CVPR (2). pp, 177-183 (2005)
    • (2005) CVPR , vol.2 , pp. 177-183
    • Sun, Q.1    DeJong, G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.