Oblique photography three-dimensional reconstruction matching method

A technology of 3D reconstruction and matching method, applied in 3D modeling, image data processing, instruments, etc., can solve the problem of low clustering efficiency and achieve the effect of avoiding the global matching process, improving efficiency and simplifying the process

Active Publication Date: 2020-02-18
BEIJING FORESTRY UNIVERSITY +1
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Problems solved by technology

Xu Zhihua et al. proposed a method for constructing image topological relationship based on GPS information, which limits the image matching in the process of 3D reconstruction to images with topological relationship ----------------- ---- carried out to reduce the time-consuming matching, but did not consider the situatio

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  • Oblique photography three-dimensional reconstruction matching method
  • Oblique photography three-dimensional reconstruction matching method
  • Oblique photography three-dimensional reconstruction matching method

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Embodiment Construction

[0027] The oblique photography three-dimensional reconstruction matching method proposed by the present invention mainly includes several steps of image position and pose feature extraction, color feature extraction, texture feature extraction, feature fusion and image set generation to be matched.

[0028] Clustering Algorithms for UAV Sequence Images

[0029] The sequence of images taken by the drone has position information with an accuracy of about ±10 meters, and attitude information with an accuracy of about ±5°. At the same time, its course overlap and side overlap are relatively high. In view of the above characteristics, the image clustering of the present invention also considers the image pose information And its own features, mainly divided into several steps of GPS / IMU feature extraction, color feature extraction, texture feature extraction, feature vector generation and clustering.

[0030] 1.1 Image Features

[0031] (1) Position and attitude feature components...

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Abstract

The invention relates to the field of oblique photography three-dimensional reconstruction of unmanned aerial vehicles, and discloses an oblique photography three-dimensional reconstruction matching method, which comprises the steps of extracting an image position and a pose feature component; extracting an image color feature component; extracting texture feature components; standardizing the three components, and performing combining to obtain a fusion feature vector; constructing a hash function to map the obtained fusion feature vector; and further calculating the Euclidean distance, performing sorting to form a to-be-matched image set, and then selecting a single image matching object from the to-be-matched image set in the structure motion recovery process. Compared with the prior art, POS information and color texture information of an unmanned aerial vehicle image are fused; the images before reconstruction are clustered according to the characteristics of the unmanned aerial vehicle images, the global matching process of a traditional reconstruction algorithm is avoided, the efficiency in oblique photography image three-dimensional reconstruction is remarkably improved, and the reconstruction dense point cloud can keep good precision while the reconstruction efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of three-dimensional reconstruction of oblique photography of unmanned aerial vehicles, in particular to a method for three-dimensional reconstruction and matching of oblique photography. Background technique [0002] In recent years, with the continuous progress and perfection of feature point detection and matching algorithms, self-calibration algorithms, structure from motion reconstruction algorithms (Structure from motion, SFM) and multi-view stereo matching algorithms (Multi-view stereopsis, MVS), Image-based 3D reconstruction technology has developed by leaps and bounds, and has been widely used in forest resource survey, forest stand research and 3D reconstruction of standing trees. Due to the low-altitude flight characteristics of UAVs, it has the advantages of flexible viewing angles and strong timeliness. UAVs can be used to obtain a large number of uncalibrated image sequences of continuous viewi...

Claims

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Application Information

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IPC IPC(8): G06T17/00G06T7/90G06T7/41G06T7/73G06T7/33G06K9/62G06K9/46
CPCG06T17/00G06T7/90G06T7/41G06T7/73G06T7/33G06T2207/10024G06T2207/10016G06V10/56G06F18/22G06F18/2321G06F18/253
Inventor 孙铁波刘晋浩阚江明黄青青李江
Owner BEIJING FORESTRY UNIVERSITY
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