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Method for splicing video panoramas with large view of field based on hybrid projection transformation model

A technology of projection transformation and panorama, which is applied in the field of computer vision, can solve problems such as cost, increased calculation times, and long time, and achieve good splicing effect, efficient splicing process, and reduced registration time

Active Publication Date: 2018-05-29
BEIHANG UNIV
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Problems solved by technology

However, in the calculation of the weight, since the calculation of the Euclidean distance is required, and as the number of feature points increases, the number of calculations will also increase to a large extent, so it will take a lot of time

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  • Method for splicing video panoramas with large view of field based on hybrid projection transformation model
  • Method for splicing video panoramas with large view of field based on hybrid projection transformation model
  • Method for splicing video panoramas with large view of field based on hybrid projection transformation model

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Embodiment Construction

[0021] The present invention will be described in detail below in conjunction with the accompanying drawings and embodiments.

[0022] The present invention acquires video sequences by shooting with a traditional SLR camera, and realizes stitching of video panoramas under Matlab R2016b. Flow chart of the present invention sees figure 2 As shown, in order to better understand the technical solution of the present invention, the following specific embodiments of the present invention are further described:

[0023] Step 1: read in the video sequence, and use Matlab to down-sample the acquired video sequence to reduce the computational load of image registration. When sampling, it is only necessary to ensure that there is about 1 / 3 of the overlapping area in adjacent sampled images.

[0024] Step 2: the present invention adopts Sift operator to adjacent two images I 1 and I 2 Carry out the detection of feature points and the calculation of Sift feature vector.

[0025] Step...

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Abstract

The invention provides a method for splicing video panoramas with large view of field based on a hybrid projection transformation model. The method comprises the following five steps: step 1, performing downsampling on a video to reduce the amount of computation; step 2, detecting and extracting Sift feature points; step 3, clustering the feature points, performing region division on the image byusing an SUM method, and matching the feature points; step 4, calculating a hybrid projection matrix; and step 5, performing iterative operation to achieve registration and fusion of subsequent imagesequences and finally splicing the panoramas. By adoption of the method provided by the invention, the problem of large error of the traditional single projection matrix method and the problem of timewasting in the multi-projection matrix method are solved, and the method has a wide application background.

Description

technical field [0001] The invention relates to a method for splicing large-field video panoramas based on a hybrid projection transformation model. The method can realize accurate and fast splicing of video image sequences to generate panoramas. It can be applied to technologies such as virtual reality and belongs to computer vision. field. Background technique [0002] Large-field video panorama stitching technology is a hot research issue in the field of video processing. It can stitch a video image sequence to form a wide-angle image that contains a complete scene, which solves the problem that exists due to the limitation of camera equipment. The shooting angle is small and the panoramic view cannot be observed. This technology has been widely used in remote sensing, seabed detection and virtual reality and other fields. In the field of remote sensing, the acquisition of high-resolution images needs to be spliced ​​to create large-area panoramic images; Provide users...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N5/265H04N5/262H04N5/232G06K9/62
CPCH04N5/262H04N5/265H04N23/698G06F18/2411
Inventor 袁丁胡晓辉张弘
Owner BEIHANG UNIV
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