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Recognition by parts using adaptive and robust correlation filters

  • US 8,073,287 B1
  • Filed: 02/25/2008
  • Issued: 12/06/2011
  • Est. Priority Date: 02/26/2007
  • Status: Active Grant
First Claim
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1. A correlation filter for determining if a physical test target in at least one test image obtained using an imaging device matches a physical training target in at least one training image, comprising:

  • a) a conjugate transpose module configured to generate a conjugate transpose SH of an image matrix S that includes at least one training image vector, each of the at least one training image vector including a vectorized representation of the at least one training image;

    b) a power spectrum module configured to generate a power spectrum matrix Dx using at least one test image vector x, each of the at least one test image vector x including a vectorized representation of the at least one test image; and

    c) a correlation processor configured to generate correlation-peak-strength and distance-from-origin data using the conjugate transpose SH and power spectrum matrix Dx according to h=(Dx

    I)

    1
    S[SH(Dx

    I)

    1
    S]

    1
    d; and

    wherein;

    i) ε

    is a regularization constant;

    ii) I is an identity matrix; and

    iii) Dx is a vector desired response with elements corresponding to at least one of the at least one training image vector in matrix S.

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