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Structured light three-dimensional reconstruction method based on machine learning

A 3D reconstruction and machine learning technology, applied in the fields of instrumentation, 3D modeling, details involving 3D image data, etc. Effect

Pending Publication Date: 2021-02-05
革点科技(深圳)有限公司
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  • Summary
  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Some researchers have also tried to directly regress the absolute phase or depth from the input image, but they have not achieved good results so far, and it is difficult to obtain performance with high robustness and accuracy.

Method used

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  • Structured light three-dimensional reconstruction method based on machine learning
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  • Structured light three-dimensional reconstruction method based on machine learning

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Experimental program
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Embodiment Construction

[0054] The invention utilizes the idea and method of classification and then regression to realize high-precision and high-robust three-dimensional reconstruction of fringe projection with few frames. In order to realize the purpose of the invention, this method provides the following example technical solutions:

[0055] (1) Determine the combination scheme of the projected fringe pattern

[0056] Usually, the structured light information we project to the object surface can be expressed as

[0057]

[0058] Among them, A p and B p are the background and modulation of the projected fringe pattern, respectively, is the phase information and has:

[0059]

[0060] Among them, f 0 is the fringe frequency of the projected structured light.

[0061] The collected fringe pattern can be expressed as:

[0062]

[0063] where A c and B c Indicates the background and modulation of the acquired fringe pattern. is the phase shift caused by the surface height. defini...

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Abstract

The invention discloses a structured light three-dimensional reconstruction method based on classification. The method comprises the following steps: (1) determining a combination scheme of a projection fringe pattern; (2) projecting and collecting a fringe pattern; (3) performing classifying to obtain a category graph; (4) carrying out regression to obtain a representation graph; and (5) reconstructing three-dimensional point cloud information by using the representation graph. Compared with an existing stripe projection structured light three-dimensional reconstruction method, the method hasthe advantage that high-precision and high-robustness three-dimensional reconstruction can be completed by using fewer structured light patterns. Compared with an existing structured light three-dimensional reconstruction method of a non-stripe projection scheme, such as a pseudo-random dot matrix, the method has higher 3D imaging precision.

Description

Technical field: [0001] The invention relates to a classification-based three-dimensional reconstruction method of a structure, which mainly uses a classification method, takes a deformed fringe diagram as input, outputs a classification diagram for reconstruction, and finally completes three-dimensional reconstruction, and belongs to the field of optical three-dimensional measurement and artificial intelligence. Background technique: [0002] In the traditional fringe projection structured light 3D measurement method, phase extraction and phase unwrapping are indispensable steps. Phase extraction usually uses one or more frames of images as input, from which the parcel phase is extracted. The widely used phase extraction method is the phase shift method. The advantage is that the phase extraction accuracy is high; the disadvantage is that multiple frames of images are required, so dynamic objects cannot be measured. The single-frame phase extraction technology can calculat...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T17/20
CPCG06T17/20G06T2200/04
Inventor 杨涛彭磊姜军委李晓晓李欢欢周翔
Owner 革点科技(深圳)有限公司