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Image processing apparatus, image processing method, and program

  • US 10,540,566 B2
  • Filed: 03/26/2013
  • Issued: 01/21/2020
  • Est. Priority Date: 06/29/2012
  • Status: Active Grant
First Claim
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1. An image processing apparatus, comprising:

  • a non-transitory storage device storing instructions; and

    one or more processors configured by the instructions to;

    generate, with respect to a plurality of feature points to be detected from a first image, a first local feature amount group including local feature amounts representing feature amounts of a plurality of local regions containing the respective feature points;

    generate one or more first coordinate position information groups which include coordinate position information;

    calculate a correspondence information group representing a correlation between a correlation between the feature points of the first image and feature points of a second image based on an inter-feature amount distance between the first local feature amount group and second local feature amount groups which is formed from local feature amounts of feature points detected from the second images;

    cluster the feature points of the first image by using both the correspondence information groups and the first coordinate position information groups;

    divide the first image into regions in accordance with the result of the clustering;

    collate the first local feature amount groups for the respective regions of the first image with the second local feature amount group from the second image; and

    identify different subjects within the first and second images based on the collated first and second local feature amount groups,wherein the one or more processors are configured by the instructions to;

    cluster the feature points of the first image based on a coordinate position of a predefined reference point, in the first image, of the second image, the coordinate position being estimated based on a relative coordinate position of each of the feature points of the second image and the reference point, the correspondence information groups, and the first coordinate position information groups; and

    calculate a ratio between a distance between an two feature points of the first image and a distance between two feature points of the second image that correspond to the two feature points of the first image, by using the first coordinate position information groups, a second coordinate position information groups, which is coordinate position information on the feature points detected from the second image, and the correspondence information groups.

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