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3D data compression algorithm based on virtual orthogonal structured light coding

A technology of data compression and structured light, which is applied in manufacturing computing systems, digital video signal modification, electrical components, etc., and can solve problems such as decoding data errors, extracting fringe distortion, and decoding errors

Active Publication Date: 2022-05-20
TAIYUAN UNIVERSITY OF SCIENCE AND TECHNOLOGY
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Problems solved by technology

[0004] In order to solve the problem that each channel fringe pattern needs to be extracted from the color image during data decoding, and the color crosstalk causes distortion of the extracted fringes, causing later decoding errors and even decoding data errors, a 3D data compression algorithm based on virtual orthogonal structured light coding is proposed. This algorithm uses the idea of ​​frequency division multiplexing to encode 3D data into a grayscale image, avoiding the problem of channel crosstalk when decoding color fringe images and achieving the purpose of reducing memory

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  • 3D data compression algorithm based on virtual orthogonal structured light coding
  • 3D data compression algorithm based on virtual orthogonal structured light coding
  • 3D data compression algorithm based on virtual orthogonal structured light coding

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[0060] In order to make the purpose, features and advantages of the present invention understandable, the specific implementation manners of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0061] The 3D data compression algorithm based on virtual orthogonal structured light coding is carried out according to the following steps:

[0062] Step 1) The mapping process of 3D data to 2D grayscale image: the X and Y direction data of 3D data are mapped to the pixel coordinate information (x', y') of 2D image after being linearly scaled and rounded by W times, and the Z of 3D data is The direction data is mapped to the phase information of the 2D fringe image through the virtual structured light model. Taking one point of the 3D data as an example, the depth information z(x,y) corresponding to the point (x,y) and the image (x', y') The phase change caused by the pixel position The following linear relationship exists:

[006...

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Abstract

The invention belongs to the field of 3D data compression, and proposes a 3D data compression algorithm based on virtual orthogonal structured light coding, which maps 3D data into 2D grayscale images to achieve the purpose of saving data storage space. In , through the virtual orthogonal structured light model, the 3D data is mapped into two sinusoidal fringe patterns with a phase difference of π / 2, and a composite fringe pattern is formed in an orthogonal manner, thereby realizing the conversion of floating-point 3D data into 0 For the purpose of storing the integer image data up to 255, the frequency domain filtering method is used to separate the corresponding fringe pattern during data decoding, and the 3D data is reversed by phase calculation. Compared with the traditional virtual structured light 3D data encoding algorithm, the orthogonal composite encoding The method effectively replaces the method of storing fringe images in three channels (R, G, B) of color images, and the storage capacity of compressed grayscale images is reduced by 2 / 3.

Description

technical field [0001] The invention belongs to the field of 3D data compression, in particular to a 3D data compression algorithm based on virtual orthogonal structured light coding. Background technique [0002] The continuous development of 3D reconstruction algorithms and the continuous optimization of data acquisition and processing equipment have made the application of 3D reconstruction technology in the fields of product shape detection and industrial rapid prototyping continue to mature. The 3D data generated by 3D reconstruction, with the increase of industry application needs and the improvement of data precision, the data volume has shown a sharp increase in recent years, posing new challenges to hardware storage and post-processing operations. [0003] The x, y, and z coordinate values ​​of general 3D data are double-precision floating-point data, while the pixel value of each pixel in a grayscale image is integer data from 0 to 255. Traditional virtual structu...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N19/42H04N19/426H04N19/44
CPCH04N19/42H04N19/426H04N19/44Y02P90/30
Inventor 黄莉宁爱平武迎春冯旭飞
Owner TAIYUAN UNIVERSITY OF SCIENCE AND TECHNOLOGY