Sift match in image analysis
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Thread: Sift match in image analysis

  1. #1
    Join Date
    Jan 2011

    Exclamation Sift match in image analysis

    Hi, this is my first post so i'll get straightforward to the point.
    i'm doing a function that takes as input two sift matrices of image A and B and returns the number of sift matching sifts.
    the matrices have the following characteristics:

    1)1 row describes 1 sift
    2)a sift is desxribed only by integers:
    x,y, coordinates, intensity, orientation + 128 integers in the range 0/255
    3) the 128 integers are used to actually measure the distance between two SIFT
    4)SIFT x from image A matches SIFT y from image B if y is the closest (to x)
    SIFT in B, and the second closest SIFT z in b has distance such that d(x,y)/
    -Usually with alpha=0.8.

    my algorithm:

    int NumMatches

    for each row in A
    { for each row in B
    { compute euclidian_distance(row(A),row(B));

    select Minimum1 //the minimum distance
    select Minimum2 //the second mimimum distance

    return NumMatches

    the algorithm must be applied to about 30K images, so i need that it would be as light as possible and my O(N^2) complexity is too much to handle.
    Is it possilbe to do better?
    Maybe changing the type of distance?


  2. #2
    Join Date
    Jan 2011

    Re: Sift match in image analysis

    opps, i've created 3 threads, please remove the other too as soon as possible.

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