Compressing encode/decode method for three-dimensional model texture based on Quardtree

Abstract

A compressing encode method for a three-dimensional model texture based on Quardtree comprises the following steps: (1) dividing texture images according to Quardtree, resolving the texture images into a series of base textures with different resolutions, and coding the base textures; (2) arranging texture coordinates, and coding the texture coordinates successively. A decoding method corresponding to the coding method comprises the following steps: synchronously transferring texture data stream and geometric grid data, and decoding and recovering the texture data stream and the geometric grid data; and matching the texture data stream and the geometric grid data with geometrical model of the corresponding resolutions according to the textures with different resolutions. The compressing encode / decode method f of the invention has the advantages of high division efficiency, fast convergence rate as well as short client terminal responding and waiting time, and can control precision of model texture decode.

Description

technical field [0001] The invention belongs to the technical field of computer graphics, and specifically relates to a Quardtree-based three-dimensional model texture attribute information compression encoding / decoding method, which is applied to the network publishing of various three-dimensional models with texture attribute information. Background technique [0002] The increasing maturity of the current 3D shape scanning data technology makes people put forward higher requirements for the accuracy and details of the 3D model data, which also leads to a sharp increase in the scale and complexity of the 3D data. The processing power and speed of the 3D graphics engine pose a huge challenge. On the other hand, the rapid development of the Internet also makes the application of 3D model data more and more extensive. But the limitation of network bandwidth has seriously hindered the spread of this medium. If it is not enough to solve this problem only by increasing the inv...

AI Technical Summary

Problems solved by technology

Peng's OT Compression method is currently the best for geometry compression, but this method only completes the encoding of geometry and topology information, and does not progressively compress and encode attribute information, especially texture information.

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