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Camera jelly effect detection method and system based on artificial intelligence

A technology of artificial intelligence and detection method, which is applied in computer parts, image enhancement, image analysis, etc., can solve the problems of poor detection and analysis accuracy of image jelly effect, achieve the effect of improving accuracy, ensuring detection accuracy and improving detection efficiency

Active Publication Date: 2022-07-15
宁夏方博科技有限公司
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Problems solved by technology

[0004] The object of the present invention is to propose a camera jelly effect detection method in the aerial photography process of a UAV, which is used to solve the problem of poor detection and analysis accuracy of the image jelly effect

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  • Camera jelly effect detection method and system based on artificial intelligence
  • Camera jelly effect detection method and system based on artificial intelligence
  • Camera jelly effect detection method and system based on artificial intelligence

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Embodiment Construction

[0045] In order to further illustrate the technical means and effects adopted by the present invention to achieve the predetermined purpose of the invention, the following describes the specific implementation, structure, features and effects of the technical solutions proposed by the present invention in detail with reference to the accompanying drawings and preferred embodiments. described as follows. In the following description, different "one embodiment" or "another embodiment" are not necessarily referring to the same embodiment. Furthermore, the particular features, structures, or characteristics in one or more embodiments may be combined in any suitable form.

[0046] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0047] In order for those skilled in the art to better understand the present invention, the present invention will ...

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Abstract

The invention discloses a camera jelly effect detection method and system based on artificial intelligence, and the method comprises the steps: obtaining three-dimensional point cloud data and RGB images of the same visual angle and range, and obtaining a depth image according to the three-dimensional point cloud data; dividing the three-dimensional point cloud data into a plurality of sub-regions, and determining each candidate region I according to the sub-regions; finding out a depth region corresponding to the candidate region I in the depth image, and screening out a candidate region II from each depth region; dividing the depth image into M sub-block regions, and dividing the RGB image into the same sub-block regions; calculating a total jelly effect quantitative index value according to the corresponding sub-block regions in the RGB image and the depth image; and finally obtaining the jelly effect severity of the RGB image. According to the invention, the three-dimensional point cloud data and the RGB image are compared and analyzed to obtain an accurate and quantized jelly effect index, so that a reference basis is provided for the surveying and mapping process of the unmanned aerial vehicle, and the jelly effect judgment result of the image is more accurate.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence, and in particular to an artificial intelligence-based camera jelly effect detection method and system. Background technique [0002] When using drones for aerial photography, rolling shutters are often used to get clear images. Due to the characteristics of the rolling shutter camera, when the drone is in flight, when the camera frame or device resonates with the drone, the image captured by the drone camera will have a jelly effect, although the global shutter can effectively avoid the jelly effect. However, due to the advantages of less complex readout, more cost-effectiveness, and less transistor heat and electronic noise, rolling shutter is still the most widely used shutter technology. [0003] In urban surveying and mapping, it has become a trend to use drones to collect data and build urban models. However, due to the existence of the jelly effect, and the jelly ...

Claims

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Application Information

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IPC IPC(8): G06T5/00G06T7/62G06V10/25
CPCG06T7/62G06T2207/20104G06T2207/10028G06T5/80
Inventor 张玉芹
Owner 宁夏方博科技有限公司