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Image feature matching method and system based on local linear migration and rigid model

A rigid model and image feature technology, applied in character and pattern recognition, computer components, instruments, etc., can solve the problems of ineffective removal of errors, wrong initial matching points, etc.

Active Publication Date: 2016-04-06
WUHAN UNIV
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Problems solved by technology

[0007] Although these methods have been successful in many fields, when the image contains a lot of local distortion caused by changes in perspective and the image content is complex, many wrong initial matching point pairs will be obtained after the initial matching. When the error rate exceeds a certain ratio , these methods cannot effectively remove the error

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  • Image feature matching method and system based on local linear migration and rigid model
  • Image feature matching method and system based on local linear migration and rigid model
  • Image feature matching method and system based on local linear migration and rigid model

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Embodiment Construction

[0084] The technical solutions of the present invention are further described in detail below through examples.

[0085] The method proposed by the invention first performs mathematical modeling on the rigid transformation of the image to be matched, and then establishes a correct match by removing wrong matches in a series of initially established matching point pairs. This method uses Bayesian maximum likelihood estimation with hidden variables for mathematical modeling. At the same time, a geometric constraint that preserves the local structure between adjacent feature points is also constructed, which maintains good robustness even in the case of a large number of false matches in the preliminary matching.

[0086] The method provided by the embodiment of the present invention mainly includes 3 steps:

[0087] Step 1, establishing a model corresponding to the geometric transformation between the images to be matched and a model corresponding to the posterior probability t...

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Abstract

The invention provides an image feature matching method and system based on local linear migration and rigid model. Correct matching is established by removing wrong matching from initial matched dot pairs. The method comprises: a model corresponding to geometric transformation between to-be-matched images is established for rigid geometric transformation between the to-be-matched images, a model corresponding to posterior probability with matched dot pairs in a correct matching mode is established, and model parameters are resolved and obtained based on a nearest neighbor matching dot, a least square method, and an optimization method; and the posterior probability with initial matched dot pairs in a correct matching mode is calculated and correctness of the initial matched dot pairs is determined according to a threshold value. According to the method, model establishment is carried out under the circumstance that rigid transformation exists between the to-be-matched images, so that the matching error rate is substantially reduced; and even when lots of wrong matching exits in initial matching, the good robustness is still kept.

Description

technical field [0001] The invention relates to the technical field of image feature matching, in particular, the invention relates to an image feature matching technical solution based on local linear transfer and rigid model. Background technique [0002] The basic goal of image matching is to match the same parts of two images of the same scene obtained by different sensors at different times and perspectives. [0003] In the past few decades, scholars have studied many methods to solve the remote sensing image matching problem. These methods can be roughly divided into two categories: region-based matching methods and feature-based matching methods. The former searches for matching information by searching the similarity of the original gray value in a certain area in two images; the latter uses the descriptor similarity of local features or spatial geometric constraints to find matching point pairs. In cases with few salient details, the gray value provides more infor...

Claims

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Application Information

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IPC IPC(8): G06K9/62
CPCG06V10/757
Inventor 梅晓光马泳樊凡黄珺马佳义
Owner WUHAN UNIV
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