Patent Document ID: 9135518
Application ID: 13943705

Base Claim:
1. A method of analyzing a digital image to determine an unordered local descriptor describing the digital image, the method comprising: selecting a subset of feature points within multiple local extrema, wherein each feature point has an associated blur level and scale octave; creating a vector for each of the feature points, each feature point vector based on the normalized intensity values of a patch around the feature point, wherein the patch size is determined by the associated octave; dividing the patch into multiple overlapping patches, wherein each overlapping patch is represented by a vector; concatenating each overlapping patch vector by projecting the multiple overlapping patch vectors onto an eigen space; and creating an unordered local descriptor for the digital image, wherein the unordered local descriptor is a compact representation of feature points defining the digital image, and wherein the compact representation is a multi-vector descriptor formed from the concatenated patch vectors.

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Claim 2:
2. The method of claim 1 , further comprising: generating a scale-space pyramid configured from a series of blur levels and scale octaves of the digital image; and localizing multiple local extrema in the scale-space pyramid, wherein the multiple local extrema are greater than a predetermined intensity, and wherein dividing the patch into multiple overlapping patches includes dividing the patch into five or more overlapping patches.