Grain synthesizing method based on multiple drawings

Abstract

The invention is a method for realizing texture synthesis based on diverse graphs. This method uses the existing texture samples, and according to the size of the composite texture, the size and number of seeds selected by the user, and the proportion of different texture samples in the newly synthesized texture, these seeds are randomly scattered in the composite texture image cache. , and then use the L-shaped texture synthesis method for all seeds according to the horizontal and vertical four directions, and perform texture synthesis at the same time until all the pixels in the synthesized texture image buffer are synthesized. The texture generated by the method of the invention has strong randomness and is very natural, and the user can effectively control it.

Description

technical field [0001] The invention belongs to the technical field of computer virtual reality, in particular to a method for generating a new texture image by using an existing texture image, which can be used for constructing and drawing a realistic virtual environment. Background technique [0002] In the real world, there are very rich texture details on the surface of objects, and people can distinguish various objects with the same shape according to them. Therefore, the simulation of object surface texture details plays a very important role in realistic graphics rendering technology. How to effectively express these texture details in computer-generated graphics has always been a hot issue in the research of computer graphics and virtual environment construction and rendering technology. [0003] There are two main approaches to simulating texture detail on computer-generated objects. One is to model surface details with polygons or ot...

AI Technical Summary

Problems solved by technology

[0004] In computer graphics, texture mapping technology has achieved great success, but there are three serious problems: first, the source of texture is relatively single

Hand-drawn pictures can meet artistic needs, but it is difficult to be as real as photos; and photos, as textures, are usually small and cannot cover the entire surface of the object

At this time, simple pasting will visually cause artificial traces

Second, there is no natural mapping from texture space to natural space, so the texture will be severely deformed when mapping

Third, texture mapping takes a lot of memory and bandwidth

However, the existing texture synthesis uses a fixed scanning line method, so the result of the synthesis lacks naturalness

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