Synchronous online splicing method based on reference frame conversion and splicing size self-adaptation
A reference frame and self-adaptive technology, which is applied in the direction of program control design, instrumentation, electrical digital data processing, etc., can solve problems such as synchronous splicing, changes in shooting angles, and affecting the overall quality of splicing, so as to increase the splicing time and improve Stitching performance, the effect of reducing memory consumption
Inactive Publication Date: 2014-11-26
NORTHWESTERN POLYTECHNICAL UNIV
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Problems solved by technology
The actual demand is often to map an unknown area. At this time, this method will fail, and when the drone is taking aerial photography, it will be affected by natural conditions such as airflow and rain, and it is impossible to maintain a shooting angle for a long time. , the shooting inclination will definitely change, which will also affect the overall quality of the stitching
Moreover, according to the experimental results in the article, it can be seen that the size of the splicing result is fixed, and the splicing size adaptive technology is not used, and the effective result in the generated graph accounts for a small proportion of the entire generated graph, which will cause extreme memory usage. Large waste and reduced splicing performance
In addition, this method cannot be spliced online synchronously, that is, the current splicing results cannot be displayed synchronously
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[0037] Now in conjunction with embodiment the present invention will be further described:
[0038] This method first creates a memory area with a fixed address in the computer. Every time the drone takes an image, it copies it to this memory area. The back-end processing program keeps checking whether there is data in this memory area. If there is data , take the data away immediately, otherwise continue to detect. This can not only ensure the independence of the video acquisition module and the splicing module, but also ensure the synchronization of data. Accumulative error is the most common problem in image stitching. The problem of accumulative error may not be exposed if only a few dozen images are stitched together. fail. Based on this analysis, the present invention proposes a reference frame transformation method, finds the matching relationship of feature points between different image frames and the reference frame, and estimates the parameters of the perspective ...
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The invention relates to a synchronous online splicing method based on reference frame conversion and splicing size self-adaptation. To meet the requirement that a splicing result is synchronous and consistent with video flow requirements, a shared memory technique is adopted, it is guaranteed that a frame to be spliced is a currently newest frame, and accordingly synchrony is achieved. To guarantee accuracy of the splicing result, a reference frame conversion technique is used, accumulative errors are reduced, and the splicing duration of video flow is increased. In order to solve the problems that a distributed splicing result size is fixed, memory resources are wasted and splicing performance is reduced, the splicing size self-adaptation technique is adopted, a needed splicing result size is calculated dynamically, unnecessary memory expenses are reduced and splicing performance is improved.
Description
technical field [0001] The invention relates to a synchronous online image splicing technology, in particular to a synchronous online splicing technology based on reference frame conversion and splicing size self-adaptation. Background technique [0002] Image stitching technology is not only a hot issue in the field of computer vision research, but also has a wide range of applications in real life, ranging from panorama stitching in mobile phones to stitching of galaxy images captured by satellites. The core purpose of image stitching technology is to provide more complete and accurate global information, and to reflect the complete information of an area and a scene to observers. Among them, the synchronous online splicing of real-time video streams is the development trend of splicing technology in the future. Just imagine, a drone shoots an unknown area. During the shooting process, the returned image results can be stitched and displayed synchronously. This stitching ...
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IPC IPC(8): G06F9/45
Inventor 杨涛张艳宁王斯丙马文广姚博伟
Owner NORTHWESTERN POLYTECHNICAL UNIV
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