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Image alignment method based on multi-model geometric fitting and layered homographic transformation

A homography transformation and image alignment technology, which is applied in the field of image processing, can solve the problems of seamless alignment of multiple images, gaps in overlapping areas, etc., and achieves an effect that is easy to implement, low in complexity, and conducive to subsequent processing

Active Publication Date: 2018-06-15
TIANJIN UNIV
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Problems solved by technology

The image alignment algorithm is becoming more and more mature. However, since one of the two images is directly selected for deformation in the image overlapping area, this method is prone to produce obvious gaps in the overlapping area.
How to seamlessly align multiple images is still a challenging problem

Method used

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  • Image alignment method based on multi-model geometric fitting and layered homographic transformation
  • Image alignment method based on multi-model geometric fitting and layered homographic transformation
  • Image alignment method based on multi-model geometric fitting and layered homographic transformation

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Embodiment Construction

[0048] The invention utilizes multi-model geometric fitting to classify image special diagnosis matching points, uses different homography matrix estimation methods for different regions, and completes the alignment problem of multi-plane and complex images.

[0049]In order to better carry out different homography transformations for different plane regions, the technical solution adopted by the present invention is to use the method of multi-model geometric fitting to classify the extracted feature matching points. After classification, the image has the base layer and In the transition layer, the dynamic direct linear transformation method is used in the base layer, and the hierarchical homography estimation is used in the transition layer to improve the accuracy of the homography transformation. The specific method includes the following steps:

[0050] 1) For the two input images (source image I and target image I′), use the degree-invariant feature conversion method to o...

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Abstract

The invention belongs to the image processing method field and aims at carrying out different homographic transformation on different planar regions. Therefore, the invention provides an image alignment method based on multi-model geometric fitting and layered homographic transformation. Extracted feature matched points are classified by using a multi-model geometric fitting method; after classification, an image has a base layer and a transition layer, the base layer is processed by using a dynamic direct linear transformation method and the transition layer is processed by using layered homographic estimation to improve the homographic transformation precision. The image alignment method is mainly applied to the image processing occasion.

Description

technical field [0001] The invention belongs to an image processing method. Regarding the problem of image alignment, the invention introduces a new method for processing image alignment through multi-model fitting and layered homography transformation, which can achieve good results for multi-plane and complex images. Align effects to avoid ghosting and blurring. Background technique [0002] With the development of science and technology, image alignment plays an important role in point cloud coding, video stabilization and computer vision. The basic process of image alignment is to construct a seamless, high-definition image with a larger field of view through at least two images taken from different angles. [0003] The core and key problem of image alignment is the image registration problem, and the performance of image registration depends on the accuracy of the estimated homography transformation. Therefore, the homography transformation of images has been the focu...

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Application Information

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IPC IPC(8): G06T3/00G06T7/33
CPCG06T7/33G06T3/04
Inventor 杨敬钰焦月李坤岳焕景
Owner TIANJIN UNIV
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