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Method and device for obtaining affine local invariant features of image

A technology of local invariant features and local features, applied in the field of image processing

Inactive Publication Date: 2014-04-23
SUZHOU UNIV
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Problems solved by technology

[0005] In view of this, the present application provides a method for acquiring image affine local invariant features to solve the technical problem that there is currently no method for acquiring image affine local invariant features in the prior art

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  • Method and device for obtaining affine local invariant features of image
  • Method and device for obtaining affine local invariant features of image
  • Method and device for obtaining affine local invariant features of image

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Embodiment Construction

[0073] The following will clearly and completely describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. Apparently, the described embodiments are only some of the embodiments of the application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0074] In the field of machine vision, it is necessary to apply the acquisition method of image affine local invariant features in solving problems such as the recognition of target objects in visual images and the stitching of panoramas. The affine transformation of the image is explained as follows:

[0075] In the image transformation model, the basic geometric transformations include translation, rotation, scaling (isotropy and anisotropy), reflection and perspective, etc. Combi...

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Abstract

The invention discloses a method and device for obtaining the affine local invariant features of an image. In order to solve the problem of extraction of local invariant features of machine vision, the method comprises the following steps: obtaining a target image including a plurality of pixel points; establishing a local feature conversion model corresponding to each pixel point; according to each local feature conversion model, further obtaining a local direction tensor corresponding to each pixel point; according to each local direction tensor, determining the maximum value of the smaller feature value of each pixel point in a preset area corresponding to each pixel point to further determine the pixel point corresponding to the maximum value as an initial interesting point; utilizing an affine recursion algorithm to converge each initial interesting point into an affine interesting point and an affine feature area to obtain an image coordinate and feature scale of the affine interesting point and the affine feature area corresponding to the affine interesting point, so that the affine local invariant features of the image are obtained.

Description

technical field [0001] The present application relates to the technical field of image processing, in particular to a method and device for acquiring affine local invariant features of an image. Background technique [0002] Image local feature is to emphatically embody the feature of a certain part of the image, for example, the low-level feature information such as the edge, point, line, and surface of the image. The affine transformation of an image is a compound transformation obtained by basic transformations such as translation, rotation, and scaling of an image. For example, a mobile robot moves in a work scene, and it can obtain images of the scene by using a binocular camera. Due to the movement of the robot, the angle of view of the camera changes, which causes certain transformations in the obtained images of the same scene, for example, changes in position, scale, viewpoint, etc., and the transformations can be comprehensively considered as a Affine transformat...

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Application Information

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IPC IPC(8): G06K9/46
Inventor 林睿孙荣川任子武厉茂海孙立宁
Owner SUZHOU UNIV
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