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Image Alignment Method Based on Multi-model Geometry Fitting and Hierarchical Homography Transformation

A technology of homography transformation and image alignment, applied in the field of image processing, can solve the problems of seamless alignment of multiple images, gaps in overlapping areas, etc., to achieve the effect of easy implementation, low complexity, and flexible optimization and application

Active Publication Date: 2021-07-09
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 Geometry Fitting and Hierarchical Homography Transformation
  • Image Alignment Method Based on Multi-model Geometry Fitting and Hierarchical Homography Transformation
  • Image Alignment Method Based on Multi-model Geometry Fitting and Hierarchical Homography Transformation

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Embodiment Construction

[0048] The invention utilizes multi-model geometric fitting to classify image feature 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 scale-invariant feature conversion method to obtain a ser...

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Abstract

The invention belongs to an image processing method. In order to better carry out different homography transformations for different plane regions, the technical solution adopted by the invention is to use multiple The method of geometric fitting of the model classifies the extracted feature matching points. After classification, the image has a base layer and a 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 homography. The precision of the transformation. The invention is mainly applied to image processing occasions.

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...

Claims

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Application Information

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Patent Type & Authority Patents(China)
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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