Patent ID: 8363973
Filing Date: 2013-01-29
Classification: G06K

Abstract:
1. A method for generating a feature descriptor vector for image identification, the method being implemented in a computing system having components including an input and output interface, a storage medium, one or more processors, and a link providing communication between the components, the method comprising: receiving an input image at the input and output interface; constructing a Gaussian pyramid space of the input image by applying Gaussian-blur filters to the input image and generating Gaussian-blurred images, the Gaussian-blur filters each having a different scale of blurring, the scales being based on input parameters; locating key points in the Gaussian pyramid space; identifying primary sampling points for each of the key points in the Gaussian pyramid space, the primary sampling points being defined with three dimensional relative positions from the key point; calculating primary image gradients corresponding to the primary sampling points, the primary image gradients being vectors indicating a change in image in a vicinity of the primary sampling points; and generating a feature descriptor vector for the input image by concatenating the primary image gradients.