Multi-channel high-definition video splicing method based on GPU parallel computing
A high-definition video and parallel computing technology, applied in computing, details involving image splicing, processor architecture/configuration, etc., can solve the problem of insufficient calculation of DSP and FPGA chips, difficulty in splicing multi-channel high-definition video images, slow calculation speed, etc. problem, to achieve the effect of high seamlessness of picture splicing, fast calculation speed and sufficient calculation space
Inactive Publication Date: 2019-07-02
沈阳灵景智能科技有限公司
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Problems solved by technology
[0004] However, in the existing solutions, due to the insufficient calculation of DSP and FPGA chips, it will be difficult to stitch multiple high-definition video images, the calculation speed is slow, and the real-time performance is poor, which cannot meet people's needs.
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[0025] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that what is described here is only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0026] Such as figure 1 As shown, the method includes the following steps:
[0027] Step 101, read in adjacent reference images and images to be stitched. Specifically, the high-definition video frame sequence sequentially reads in the adjacent high-definition video frame reference image and the image to be spliced, and obtains frame image size information, and the frame image size information inc...
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The invention discloses a multi-channel high-definition video splicing method based on GPU parallel computing. A compute unified device architecture (CUDA) programming model is adopted. The method ischaracterized in that the method comprises the following steps: reading an adjacent reference image and an image to be spliced; GPU initialization, Kernel function distribution, Haar lifting wavelet transformation, feature point extraction, feature point pairing, homography matrix calculation, non-overlapping region projection, overlapping region fusion, projection, synthesis and splicing completion of overlapping region and non-overlapping region, outputting and displaying by a display card, returning to the CPU, output storage and GPU release. According to the method, splicing of multiple paths of high-definition videos and parallel acceleration of the GPU are achieved, and the method has the advantages of being high in image splicing seamlessness, good in real-time performance, sufficient in calculation space and high in calculation speed.
Description
technical field [0001] The invention relates to the fields of parallel computing and video technology, in particular to a multi-channel high-definition video splicing method based on GPU parallel computing. Background technique [0002] With the rapid development of smart cities and smart security, surveillance video data information is playing an increasingly important role. In order to improve the utilization rate of video data and meet the needs of actual combat applications as much as possible, surveillance video is bound to develop to high-definition. The high-definition video means that a large amount of video data will need to be processed during video processing, and the amount of calculation will be huge. [0003] In addition, surveillance video often requires panoramic video of the surveillance area, but due to the limitations of physical factors in the camera equipment, generally a surveillance camera can only see partial scene video. Based on the above two point...
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Login to View More IPC IPC(8): G06T1/20G06T3/40
CPCG06T1/20G06T3/4038G06T7/136G06T2207/10016G06T2207/20024G06T2207/20221G06T2200/32
Inventor 苏向东苏杭姜琳琳
Owner 沈阳灵景智能科技有限公司