Method for retrieving massive images in real time on basis of SIFT (scale invariant feature transform) features
A feature vector and image technology, applied in the field of multimedia information processing, can solve the problems of high feature calculation complexity, slow retrieval speed, large image feature storage space, etc.
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[0026] specific implementation plan
[0027] In order to make the purpose, technical method, and advantages of the embodiments of the present invention clearer, the technical solutions provided by the embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.
[0028] Step A SIFT feature extraction of image
[0029] Scale the image area to 25,000 pixels, scan all scales and positions of the image, identify feature points with stable scale and rotation deformation, and use the Difference-Of-Gaussian function to detect; use the detail model to calculate the position of each feature point, Scale, principal curvature ratio and other parameters to remove feature points with unstable movement (such as low contrast points and image edge points, etc.).
[0030] According to the local image gradient, the direction of each key point is calculated. The key point direction parameter is described by the key point gradient size and...
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