Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Grain transferring method based on multiple drawings

A transfer method and texture technology, applied in image data processing, 3D image processing, instruments, etc., can solve the problems of slow synthesis speed, large memory and bandwidth, texture mapping occupation, etc., and achieve fast results

Inactive Publication Date: 2006-05-17
BEIHANG UNIV
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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
Texture synthesis needs to solve two problems: one is modeling, how to estimate the texture generation process from a given limited texture sample image
[0045] Block-based texture synthesis is fast, but the synthesized image has limitations
The synthesis speed based on the L-shaped neighborhood search method is slow, but it is easy to control the synthesis process, and can synthesize new and unexpected texture images based on the sample image
The current texture transfer methods are all based on single-sample images, and the L-shaped texture synthesis method is used, and the synthesis speed is very slow.

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 more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Grain transferring method based on multiple drawings
  • Grain transferring method based on multiple drawings
  • Grain transferring method based on multiple drawings

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0052] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0053] Most of the previous texture transfer methods are based on a single texture sample. The texture transfer based on diverse graphs in the present invention comprehensively utilizes Liang's block-based method and Ashikhmin's L-shaped neighborhood search method, and gradually refines from coarse to fine to realize texture transfer based on diverse graphs.

[0054] The texture transfer problem of diverse graphs can be reduced to the following problem:

[0055] I 1 +I 2 +…+I n +T=R

[0056] In the formula, I 1 , I 2 ,..., I n are different texture samples, T is the target image, and R is the synthesized texture image. That is to say, texture sample map I i According to the user's constraints, texture synthesis is performed on the target image T to generate a new image. The user constraint condition of the present invention is to us...

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

No PUM Login to View More

Abstract

The present invention is a texture transfer method based on diverse graphs. This method first divides the brightness value given by the target image into several levels with the participation of the user; then, uses a block-based method to synthesize textures using different texture samples for different brightness levels; finally, for the synthesized block, calculate the brightness difference of each texture block, if it is greater than the threshold value input by the user, subdivide the block into small blocks until the brightness difference in the subdivided blocks is smaller than the threshold value input by the user. For these subdivided blocks, an L-shaped neighborhood search method is used for texture synthesis. The invention is characterized in that the texture is synthesized from coarse to fine, the texture transfer speed is fast, the user can control the whole process, and the purpose of generating a new texture image according to the known texture image is realized.

Description

technical field [0001] The invention belongs to the technical field of computer virtual reality, and specifically relates to a method for generating a new texture image by using an existing texture image, which is 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 polygon...

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
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06T15/20
Inventor 齐越赵沁平
Owner BEIHANG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products