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An Optimal Method for Image Perspective Transformation

A technology of perspective transformation and optimization method, applied in the field of image processing, can solve the problems of long running time and high computational complexity, and achieve the effects of reducing running time, improving fitting effect, and reducing computational complexity

Active Publication Date: 2019-06-21
XIDIAN UNIV
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Problems solved by technology

However, there are problems of high computational complexity and long running time

Method used

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  • An Optimal Method for Image Perspective Transformation
  • An Optimal Method for Image Perspective Transformation
  • An Optimal Method for Image Perspective Transformation

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Embodiment Construction

[0032] The perspective transformation can realize the fitting between two images, that is, the perspective transformation is performed on the reference image to realize the fitting to the target image. Perspective transformation is achieved through the transformation matrix H. The accuracy of the transformation matrix H is a decisive factor affecting the effect of perspective transformation. Therefore, in order to make the transformation matrix H more accurate and improve the fitting effect, it is necessary to modify the transformation matrix H.

[0033] Refer to attached figure 1 , the detailed process of modifying the transformation matrix H in the present invention is as follows.

[0034] Step 1. Determine the error matrix d and the error function F(H) that represent the fitting effect of the reference image on the target image.

[0035] (1.1) Multiply and expand the image perspective transformation formula:

[0036] Perspective transformation formula:

[0037] X=H·X'[...

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Abstract

The invention discloses a method for optimizing image perspective transformation, and mainly solves the problems in the prior art that the computation complexity is high and the running time is long. The scheme is as follows: optimization of image perspective transformation is realized through optimization of a transformation matrix H, thereby realizing better fitting of a reference image and a target image. The implementation steps of optimization of the transformation matrix H include: 1) deriving an error matrix and an error function through a perspective transformation formula; and 2) iterating and correcting the transformation matrix H under the condition of constantly changing a damping coefficient lambda till the optimized transformation matrix H is obtained. Compared with the prior art, the method for optimizing image perspective transformation has the characteristics of low computation complexity, short running time and a more precise transformation matrix H, and can be used in the fields of personal photo album compression, cloud image storage and the like.

Description

technical field [0001] The invention belongs to the technical field of image processing, and further relates to an optimization method for image perspective transformation, which can be used for personal album compression, computer vision and cloud image storage. Background technique [0002] Image perspective transformation is to use the condition that the perspective center, image point, and target point are collinear to project the image to a new viewing plane, also known as projection mapping. The transformation formula of perspective transformation is X=H·X', where X' is the image point, that is, the coordinates of the reference image, X is the target point, that is, the coordinates of the target image, and H is the transformation matrix. H is obtained by partial coordinates of the reference image and the target image, and the perspective transformation of the reference image is performed according to H, and the fitting of the target image can be obtained according to t...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T3/00
CPCG06T3/0012
Inventor 吴炜李梦华
Owner XIDIAN UNIV
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