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A Determination Method of Optimal Projection Cylindrical Radius Based on Image Feature Points

A technology of image feature points and determination methods, which is applied in graphics and image conversion, image data processing, instruments, etc., can solve problems such as complex theory, huge calculation amount, and error sensitivity, and achieve the effect of expanding the scope of application and improving viewing quality

Active Publication Date: 2019-02-22
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

The advantage of this method is that the calculation accuracy is high, and the disadvantage is that the theory is complex, the amount of calculation is very huge, it is very sensitive to errors, and it has high requirements for camera equipment.

Method used

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  • A Determination Method of Optimal Projection Cylindrical Radius Based on Image Feature Points
  • A Determination Method of Optimal Projection Cylindrical Radius Based on Image Feature Points
  • A Determination Method of Optimal Projection Cylindrical Radius Based on Image Feature Points

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Embodiment

[0033] see figure 1 , the specific process of processing the image sequence (image1, image2, image3, ..., image n) to be spliced ​​based on the cylinder transformation radius determination method of the present invention is:

[0034] Step S100: Input a series of image sequences (image1, image2, image3, . . . , image n) to be stitched.

[0035] Step S200: Extract two images image_s and Image_t with overlapping regions from the image sequence to be stitched. Extract and match the image feature points of Image_s and Image_t. This step can be implemented in any existing manner. In this embodiment, the algorithm (RANSAC algorithm) based on SIFT feature points and sampling random consistency completes the calculation of this step. The specific processing is : Extract SIFT feature points from the two images Image_s and Image_t, and find the matching image feature point pair set {(s1,t1),(s2,t2),(s3,t3)...};

[0036]Step S300: Based on the set of image feature point pairs {(s1, t1),...

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Abstract

This paper discloses a method for determining the optimal projection cylinder radius based on image feature points, which belongs to the technical field of image stitching. The invention first extracts and matches the image feature point pairs of the images to be spliced; removes unstable matching relationships, obtains a stable matching feature point pair set, and obtains a geometric transformation matrix; according to the matching feature point pair set, lists the observation equation and geometric Constraint equation; optimize and adjust the focal length parameters to obtain the optimal focal length value set, and calculate the optimal projection cylinder radius. The invention is simple in calculation, overcomes the disadvantage that the focal length of the camera at the time of shooting is required to be used as the projection cylinder radius for the traditional cylindrical image splicing, greatly expands the application range of the panoramic cylindrical image splicing, and effectively improves the visual quality of the spliced ​​image. .

Description

technical field [0001] The invention belongs to the technical field of image splicing, and in particular relates to a method for determining a cylinder transformation radius based on image feature points. Background technique [0002] Image mosaic technology has been a research hotspot in the field of image processing since its appearance. It is one of the main technical means to obtain large-view images. Through several or even dozens of overlapping small-view and small-resolution images, registration, stitching and fusion A high-resolution wide-angle image that retains all the original image information is produced, which is widely used in aerospace, medical technology, and military fields. The image stitching technology can not only effectively avoid the image edge distortion caused by the wide-angle lens due to physical reasons, but also has the huge advantages of low cost, good effect and high visual quality. [0003] Cylindrical image stitching is a very important met...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T3/40
CPCG06T3/4038
Inventor 王正宁倪霄龙朱永芸蒋妍谢海平
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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