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Binocular structured light three-dimensional reconstruction method based on mask improvement

A technology of three-dimensional reconstruction and structured light, which is applied in the field of three-dimensional reconstruction and can solve problems such as affecting the effect of three-dimensional reconstruction, large differences in shadows, and affecting reconstruction accuracy.

Pending Publication Date: 2022-04-22
伯朗特机器人股份有限公司
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  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Since light travels in a straight line, there must be shadows on the target object under the light. The left and right camera positions are different, and the shadow difference may be very large. These shadows can easily affect the effect of the 3D reconstruction process, affecting the reconstruction accuracy and reconstruction speed.

Method used

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  • Binocular structured light three-dimensional reconstruction method based on mask improvement
  • Binocular structured light three-dimensional reconstruction method based on mask improvement
  • Binocular structured light three-dimensional reconstruction method based on mask improvement

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Embodiment Construction

[0029] like Figure 2-4 As shown, the present invention discloses a mask-based improved binocular structured light three-dimensional reconstruction method, which specifically includes the following steps:

[0030] Step 1. Perform camera calibration to obtain initial camera parameters, and then use the initial parameters to perform stereo correction to obtain corrected camera parameters.

[0031] Step 2. Project all black light images, all white light images, gray code images and phase shift images, and take images with the left and right cameras. Projectors cannot project total black light, so the total black light of the present invention actually does not project light or projects light with a light intensity of 0. Perform steps 3-6 on the image captured by the left camera and the image captured by the right camera respectively.

[0032] Step 3. Use the corrected camera parameters to correct all images, including gray code images (G1, G2, ..., Gn), phase shifted images (P1...

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Abstract

The invention relates to a binocular structured light three-dimensional reconstruction method based on mask improvement, and the method employs a threshold method to make masks, the masks smaller than a threshold are regarded as shadow regions, and the masks not smaller than the threshold are regarded as effective regions. In this way, invalid area calculation can be skipped during Gray code decoding and phase shift unwrapping, the calculation amount is reduced, and therefore the three-dimensional reconstruction speed is increased. And meanwhile, a mask is manufactured by using a threshold method, and a main phase value smaller than zero is increased, so that wrong matching of left and right absolute phases in three-dimensional reconstruction is reduced, and the precision of the three-dimensional reconstruction is improved.

Description

technical field [0001] The invention relates to the field of three-dimensional reconstruction, in particular to an improved binocular structured light three-dimensional reconstruction method based on a mask. Background technique [0002] 3D reconstruction technology describes the real scene into a mathematical model that conforms to the logical expression of the computer through the processes of depth data acquisition, preprocessing, point cloud registration and fusion, and surface generation. This model can play an auxiliary role in research such as industrial applications, cultural relics protection, game development, architectural design, and clinical medicine. [0003] As an active 3D reconstruction method, the binocular structured light 3D reconstruction method is favored by most researchers because of its high efficiency and good robustness. like figure 1 As shown, the basic principle of the binocular structured light 3D reconstruction method is to project a grating ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T17/00G06T7/80G06T7/33
CPCG06T17/00G06T7/85G06T7/33G06T2200/08
Inventor 黄少华覃宝钻黄朋生潘桐郭鹏
Owner 伯朗特机器人股份有限公司
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