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Improved image splicing key frame fast extraction method

An extraction method and image stitching technology, applied in the field of computer vision, can solve the problems of changing the camera's shooting angle, large amount of calculation, and long time.

Inactive Publication Date: 2017-12-01
HUNAN VISION SPLEND PHOTOELECTRIC TECH
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AI Technical Summary

Problems solved by technology

In addition, a large number of sequential images will be collected during the driving process of the vehicle. According to the traditional method, all the images will be spliced ​​sequentially, which requires a large amount of calculation and takes a long time.
Moreover, due to the influence of factors such as variable speed, turning, and bumps during vehicle driving, the camera's shooting angle will change. These factors have increased the difficulty of splicing the sequence images of the vehicle-mounted camera platform.

Method used

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  • Improved image splicing key frame fast extraction method
  • Improved image splicing key frame fast extraction method

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Embodiment Construction

[0071] The specific implementation of the image mosaic-oriented fast key frame extraction method of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0072] The process flow of the key frame fast extraction method oriented to image stitching of the present invention is as follows: figure 1 As shown, it can be divided into five steps.

[0073] The first step, image preprocessing

[0074] When the camera is erected at an angle on the vehicle platform to shoot the ground, the images collected by the camera will have lens distortion and perspective distortion, so it is necessary to preprocess the collected images.

[0075] The preprocessing process includes:

[0076] First, lens distortion correction is performed on the original sequence images.

[0077] Secondly, the rotation matrix of the camera in the ground coordinate system is calculated according to the attitude information of the vehicle and the installation paramete...

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Abstract

The invention discloses an improved image splicing key frame fast extraction method, and relates to the field of computer vision. The method eliminates the influence of image distortion through image preprocessing, detects feature points by using the SIFT, realizes the automatic extraction of key frames by taking a matching ratio of the feature points of adjacent frames as the similarity measure of images, splices the key frame images, greatly reduces the splicing time of the sequence images, screens initial matching pairs by using an improved RANSAC algorithm, calculates an accurate transformation matrix between the images to achieve image registration, and finally achieves seamless image splicing by using a weighted smoothing fusion method. The method has strong robustness, and the spliced images are natural and clear.

Description

technical field [0001] The invention relates to the field of computer vision, in particular to an improved method for quickly extracting image splicing key frames. Background technique [0002] Image mosaic is a research hotspot in the field of computer vision and image processing. It is to spatially match and align multiple image sequences with overlapping parts, and form a wide-angle scene containing the information of each image sequence after resampling and fusion. , high-definition new images. [0003] As the key and core of image stitching technology, image registration is to solve the geometric transformation model between the images based on the consistency of the overlapping areas of the two images, that is, to change one image to the coordinate plane of another image through the geometric model and Align the overlapping regions of the images. At present, the feature-based image registration method is the main trend of research. This method is realized by directly...

Claims

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Application Information

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IPC IPC(8): G06T7/33G06T3/40
CPCG06T3/4038
Inventor 颜微马昊辰
Owner HUNAN VISION SPLEND PHOTOELECTRIC TECH
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