Three-dimensional restoration method and system, terminal equipment and storage medium

A terminal device and three-dimensional technology, applied in the field of image processing, can solve problems such as inability to extract image features, high cost of three-dimensional restoration, inability to effectively and accurately generate three-dimensional models of objects, etc., and achieve the effect of increasing the number of image features

Pending Publication Date: 2020-05-29
TAPUYIHAI SHANGHAI INTELLIGENT TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, in the current 3D restoration method, since the feature extraction in the image processing method can only extract more obvious corner features or edge features, it is impossible to extract more image features for areas without obvious features on the object, resulting in the need to use High-quality camera for image acquisition, which makes the cost of 3D restoration relatively high
Moreover, when there are few image features, it is impossible to effectively and accurately generate a 3D model of an object.

Method used

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  • Three-dimensional restoration method and system, terminal equipment and storage medium
  • Three-dimensional restoration method and system, terminal equipment and storage medium
  • Three-dimensional restoration method and system, terminal equipment and storage medium

Examples

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Effect test

no. 1 example

[0063] A three-dimensional reduction system such as figure 1 As shown, including: projection equipment, at least four image acquisition equipment, terminal equipment and main frame;

[0064] At least four image acquisition devices are arranged on the main frame, and the viewing angle areas of adjacent image acquisition devices among the at least four image acquisition devices overlap two by two; the projection device is arranged on the main frame or near the inner side of the main frame;

[0065] Specifically, the image acquisition device is a camera, and the camera includes but is not limited to a depth camera, a TOF camera, and a wide-angle camera. At least four image acquisition devices are arranged on the main frame, and the viewing angle areas of adjacent image acquisition devices among the at least four image acquisition devices overlap two by two, so that the images captured by at least four image acquisition devices at the same time have scene overlap The site, exempl...

no. 2 example

[0081] A three-dimensional reduction method, such as image 3 As shown, the following three-dimensional restoration steps are performed:

[0082] S210 Acquire a first image from at least four image acquisition devices; the first image includes an object to be scanned;

[0083] Specifically, before the projecting device projects the preset pattern to the target to be scanned, the first image including the target to be scanned is acquired from at least four image acquisition devices.

[0084] S220: After the projection device projects the preset pattern to the target to be scanned, acquire second images from at least four image acquisition devices; among the at least four image acquisition devices, the viewing angle areas of adjacent image acquisition devices overlap in pairs; the second image includes The target to be scanned after projecting a preset pattern;

[0085] S230 performing feature extraction on each second image by using a first feature extraction algorithm and a ...

no. 3 example

[0103] A three-dimensional reduction method, such as Figure 4 As shown, the following three-dimensional restoration steps are performed:

[0104] S310 Acquire a first image from at least four image acquisition devices; the first image includes an object to be scanned;

[0105] S320: After the projection device projects the preset pattern to the target to be scanned, acquire second images from at least four image acquisition devices; two of the viewing angle areas of adjacent image acquisition devices among the at least four image acquisition devices overlap; the second image includes The target to be scanned after projecting a preset pattern;

[0106] S330 Perform feature extraction on each second image by using the first feature extraction algorithm and the second feature extraction algorithm respectively to obtain a first feature point set and a second feature point set corresponding to each second image;

[0107] S340 Perform matching according to the first feature point...

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Abstract

The invention provides a three-dimensional restoration method and system, terminal equipment and a storage medium, and the method comprises the steps: obtaining a second image from at least four pieces of image collection equipment after projection equipment projects a preset pattern to a to-be-scanned target; wherein the visual angle areas of the adjacent image acquisition devices in the at leastfour image acquisition devices are overlapped pairwise; wherein the second image comprises a to-be-scanned target projected with a preset pattern; performing feature extraction on the second image, and performing matching according to the extracted image features to obtain an image pair; wherein the image pair comprises at least two second images with overlapped scenes; respectively carrying outfeature point matching on the image pairs to obtain matching groups; performing calculation according to the matching group to obtain spatial points on the to-be-scanned target corresponding to the image features; and generating a three-dimensional model corresponding to the to-be-scanned target according to the space points. The method increases the number of image features, improves the precision of three-dimensional restoration, and reduces the cost of three-dimensional restoration.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a three-dimensional restoration method, system, terminal equipment and storage medium. Background technique [0002] The 3D model of an object is used in a wide range of fields, such as design simulation, virtual reality, 3D movies and other fields. The establishment of the 3D model of the object needs to use the camera to take a panoramic shot of the object, perform feature recognition on the captured image, and then perform 3D restoration to construct the corresponding 3D model of the object. [0003] However, in the current 3D restoration method, since the feature extraction in the image processing method can only extract more obvious corner features or edge features, it is impossible to extract more image features for areas without obvious features on the object, resulting in the need to use High-quality cameras are used for image acquisition, which makes the cost o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T17/00
CPCG06T17/00
Inventor 谈飞黎文猎
Owner TAPUYIHAI SHANGHAI INTELLIGENT TECH CO LTD
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