Geometric rearrangement-based virtual structured light 3D point cloud compression method
A technology of virtual structure and compression method, applied in instruments, computing, image data processing and other directions, can solve the problems of quantization error, affecting data decoding accuracy, decoding accuracy inconsistency, etc., to improve data decoding accuracy, improve decoding accuracy, and simplify data. Effects of the decoding process
Active Publication Date: 2021-06-25
TAIYUAN UNIVERSITY OF SCIENCE AND TECHNOLOGY +1
View PDF7 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
In the above-mentioned method of realizing 3D point cloud data compression based on the virtual structured light projection system, the data in the X and Y directions is based on linear compression, and the data in the Z direction is based on nonlinear compression. There is a problem of inconsistent decoding accuracy in the three directions of X, Y and Z. , Linear compression in the Y direction introduces quantization errors, and this error will be further transmitted to the Z direction, affecting the final decoding accuracy of the data
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0054] 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.
[0055] In order to better understand the principle of the algorithm of the present invention, the principle of 3D point cloud data compression based on virtual structured light coding is briefly described below.
[0056] The principle of 3D point cloud data compression based on virtual structured light coding is as follows: figure 2 As shown, the compression algorithm uses a point-by-point encoding method. First, the value of the spatial coordinates (x, y) of each point in the 3D point cloud is mapped to the pixel coordinate value (i, j) of the 2D fringe image, and then the ( The z coordinate value corresponding to x, y) is mapped to the gray value of the pixel coordinate (i, j) of the 2D fringe image. The data encoding and decoding ...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention belongs to the field of 3D point cloud data compression, and particularly discloses a geometric rearrangement-based virtual structured light 3D point cloud compression method, which comprises the following steps of rearranging three-coordinate position information of a point cloud space to form a two-dimensional dot matrix, and mapping the dot matrix into a holographic-like image for storage through a virtual structured light system, quantization errors caused by linear mapping of point cloud X and Y direction coordinates and two-dimensional image pixel coordinates can be effectively avoided, and the data decoding precision is improved. Besides, the geometric structure of original point cloud data is changed through data rearrangement involved in the algorithm, 3D data geometric information hiding is achieved while data compression is conducted, the algorithm has important significance in point cloud data copyright protection, the effectiveness of the algorithm is verified through experiments, and compared with a traditional virtual structure light coding algorithm, under the same compression rate, the RMSE of the decoded data can be averagely reduced by 79.86%; under the condition of similar decoding precision, the compression ratio of the algorithm is 1.96 times that of a traditional algorithm.
Description
technical field [0001] The invention belongs to the field of 3D point cloud data compression, in particular to a virtual structured light 3D point cloud compression method based on geometric rearrangement. Background technique [0002] With the rapid development of 3D acquisition technology, 3D point cloud data, as an important and popular 3D object representation method, is widely used in many fields such as virtual and mixed reality, autonomous driving, digitalization of cultural relics and 3D printing. Compared with traditional two-dimensional multimedia data, 3D point cloud data contains more vivid details. In general, a high-precision 3D point cloud contains millions of points, and each point contains information such as position, color, and normal vector, resulting in a huge amount of 3D point cloud data, which proposes new methods for later data processing, storage, and transmission. challenge. Therefore, researching effective 3D point cloud compression algorithms h...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Applications(China)
IPC IPC(8): G06T9/00
CPCG06T9/001
Inventor 武迎春齐慧敏张彧洋曹阳李晋红王安红
Owner TAIYUAN UNIVERSITY OF SCIENCE AND TECHNOLOGY