Real-time image splicing method for police unmanned aerial vehicle investigation and evidence obtaining

A UAV, image technology, applied in image enhancement, image analysis, image data processing and other directions, can solve the problem of not taking into account the difference of the salient features of the image, not having scale invariance, etc., to achieve the effect of improving the matching rate

Active Publication Date: 2017-05-17
山东省公共安全检验检测技术有限公司
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AI Technical Summary

Problems solved by technology

[0004] ORB is an algorithm based on FAST feature extraction and BRIEF feature description. It has the advantage of fast speed, but it does not have scale invariance

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  • Real-time image splicing method for police unmanned aerial vehicle investigation and evidence obtaining
  • Real-time image splicing method for police unmanned aerial vehicle investigation and evidence obtaining
  • Real-time image splicing method for police unmanned aerial vehicle investigation and evidence obtaining

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[0045] The present invention will be further explained below in conjunction with the drawings and specific embodiments.

[0046] Combine figure 1 First of all, let’s understand what the ORB algorithm is. The ORB algorithm combines the FAST feature point detection method with the BRIEF feature descriptor, and makes improvements and optimizations. The present invention mainly introduces the feature point detection and feature point description of the algorithm. section.

[0047] 1) Feature point detection

[0048] The ORB algorithm uses a Gaussian pyramid structure and calculates its main direction for each feature point, so that the detected feature points have scale invariance and rotation invariance.

[0049] (1) First establish the scale space and construct the image pyramid. Unlike SIFT, there is only one image per layer.

[0050] (2) Calculate the number n of feature points that need to be extracted for each layer according to the formula, use FAST algorithm to detect feature point...

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Abstract

The invention discloses a real-time image splicing method for police unmanned aerial vehicle investigation and evidence obtaining. The method includes the three steps of improved ORB algorithm operation, image registration and image fusion. According to the method, a multi-scale space is constructed; a significance analysis model is adopted to obtain an optimal angle point detection threshold value, and feature points are extracted; an ORB descriptor is adopted to describe the feature points; and a Hamming distance and RANSAC-combined method is adopted to achieve fast matching. As indicated by results, an improved ORB algorithm maintains the superiority of speed, and the matching rate of the improved ORB algorithm is improved as for images on which scale, angle of view, rotation and illumination change occur.

Description

technical field [0001] The invention belongs to the technical field of police unmanned aerial vehicle photographing and evidence collection, and in particular relates to an image real-time mosaic method for police unmanned aerial vehicle reconnaissance and evidence collection. Background technique [0002] In recent years, the computer crime rate at home and abroad has continued to increase, posing a serious threat to national security and social security, causing serious losses to legal public and private property, and also posing new challenges and requirements for computer forensics technology. As a relatively new research field, computer forensics is of great significance to fighting crime and maintaining social stability. The application of rotary-wing UAVs to reconnaissance and evidence collection has the advantages of fast response, high real-time performance, and real and reliable images. It can also effectively alleviate the problems of insufficient reconnaissance a...

Claims

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Application Information

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IPC IPC(8): G06T3/40G06T5/00G06K9/46G06T7/30
CPCG06T3/4038G06T5/002G06T5/003G06T5/009G06T2207/10032G06T2207/20024G06T2207/20221G06V10/44
Inventor 王帅张莹莹刘向阳张江州姜树明阎淮海张元元魏志强王文爽
Owner 山东省公共安全检验检测技术有限公司
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