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A Real-time Video Stitching Method Based on Improved Surf Algorithm

A real-time video and algorithm technology, applied in the field of video splicing, can solve problems such as speeding up the splicing speed, and achieve the effect of real-time splicing

Inactive Publication Date: 2019-07-23
HOHAI UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Zhang Chaowei et al [Refer to the literature: Zhang Chaowei, Zhou Yan, Wang Yaokang, Cheng Yan. Video stitching method based on SIFT feature tracking and matching [J]. Computer Engineering and Application. 2008,44(10):169-172] through the adjacent The inter-frame feature motion estimation obtains the matching features of subsequent frames, which speeds up the splicing speed, but it can only reach 5 frames per second

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  • A Real-time Video Stitching Method Based on Improved Surf Algorithm
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  • A Real-time Video Stitching Method Based on Improved Surf Algorithm

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Embodiment Construction

[0036] The invention realizes a real-time video splicing method aiming at the strict requirement on time of real-time video splicing and some deficiencies in existing video splicing methods. This method first uses the phase correlation coefficient to obtain the overlapping range of the two cameras, and then only the images within the overlapping range will be processed; then the SURF algorithm is improved to improve the generation method of the feature point descriptor in the SURF algorithm and reduce the description. Using the improved SURF algorithm to extract the features in the overlapping area of ​​the video frame; using the feature registration method of block matching to realize the registration of the video frame, obtain the transformation matrix, and finally realize it according to the correlation coefficient between adjacent frames The real-time update of the projection matrix realizes the splicing of videos. In order to facilitate the public's understanding, the tec...

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Abstract

The invention discloses a method for splicing videos in real time and belongs to technical field of video image processing. The method computes the overlapped area of video frame images to be spliced by using a phase correlation method, improves a SURF (Speeded UP Robust Features) algorithm, simplifies the generation process of a characteristic point descriptor in the SURF algorithm, reduces the dimensionality of the descriptor, extracts the characteristic points of the overlapped area of the video frames by using the improved SURF algorithm. The invention provides an image registration method based on characteristic block matching to match the characteristic points, decrease calculated amount, increase computational efficiency, and quickly solve an image conversion model by using the characteristic block matching. Finally the invention provides a projection matrix updating method based on a correlation coefficient. The projection matrix updating method is used for updating a projection matrix, prevents erroneous splicing results, and fusing the video frame images so as to splice the videos in real time.

Description

technical field [0001] The invention relates to a video splicing method, which splices video streams from two cameras in real time, and belongs to the technical field of image and video processing. Background technique [0002] Video stitching is to splice multiple videos that partially overlap with each other into a wide-view, high-resolution panoramic video. It is developed on the basis of image stitching and is the application and extension of image stitching technology. Video stitching technology is widely used in intelligent monitoring, video conferencing, medical microscopic video, aerial video and other fields. [0003] Video stitching is the stitching of video streams captured by multiple cameras into a panoramic video. Different from image stitching, video stitching has relatively high time requirements, so the existing video stitching methods take time complexity into account, but the real-time performance is relatively poor. Developed by Zheng M et al. A camera...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T3/00
CPCG06T3/0068
Inventor 吴学文原帅周燕刘娜
Owner HOHAI UNIV
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