A 3D Dynamic Data Compression and Smoothing Method Based on Image Space

Abstract

The invention provides a three-dimensional dynamic data compression and a smoothing method based on image space. The three-dimensional dynamic data compression and the smoothing method based on image space include compressing a sampling point which is projected on a server-side based on the image space, firstly calculating space position of the sampling point at a certain internal, then conducting cluster compression on a motion track to greatly improve data compression rate, conducting smoothing process on a transition area between a client-side and an adjacent rigid body, eliminating gaps between the adjacent rigid body when compression rate is overlarge, and enabling the server-side to transmit dynamic data when the compression rate is overlarge. In a traditional method of interactive three-dimensional figure visualization, when a client-side viewpoint parameter changes, the server-side needs to redraw and transmit a figure with novel viewpoint, and frequent changes of the client-side viewpoint lead to overlarge data transmission amount. The compression of the sampling point motion track can be finished in the image space, GPU parallel calculation characters can be well utilized, rapid and compact compression of the three-dimensional dynamic scene data can be achieved, and limit on a network broadband can be reduced.

Description

Technical field [0001] The invention relates to the technical field of three-dimensional dynamic data processing, in particular to a three-dimensional dynamic data compression and smoothing method based on image space. Background technique [0002] With the advent of the network age, remote visualization has become a new trend in the development of visualization technology, enabling the rational and effective use of data resources on the network. Because the growth rate of data obtained by observation and simulation is much faster than the growth of network bandwidth transmission speed, and with the improvement of computing power of mobile computing platforms such as laptops, tablets and smart phones, remote visualization technology will become more and more. The more important it is, it has broad application prospects. [0003] At present, the server is generally equipped with a supercomputer or workstation with powerful graphics processing capabilities, and the performance of th...

AI Technical Summary

Problems solved by technology

Field et al. and Li Guangming et al. proposed that the Laplacian smoothing algorithm can effectively adjust all grids to regular shapes by moving the grid vertices to the average of their neighborhood vertices, but for uneven grid distribution and For models containing a large number of irregular triangular pieces, this uniform adjustment often results in large-scale deformation of the original model

The average curvature smoothing method proposed by Desbrun et al. moves the normal vector direction of each point on the grid according to the average curvature of the point to adjust the grid vertices, and achieves a good smoothing effect, but the adjusted model cannot control the grid shape. , it is easy to produce a large number of irregular triangular pieces

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