Virtual Brush Model Of The Virtual Ink Than With Real Ink

In recent years, the research of virtual brush model for computer graphics and human-computer interaction is a difficult problems, it is mainly used to carry out the electronic painting problem. Many researchers from various aspects to study the virtual brush model and made a great achievements already. But any of the projects, including the virtual brush model mentioned in this paper are all needed to do testing and evaluation, in order to promote the development of research. An effective, accurately assessment is the successful key for the research and development. At the present, most of assessments to test a virtual brush model good or bad is depended on the real extent of virtual ink-handwriting, but most of the currently assessment is base on qualitative assessment, It's cann't be accurately reflect the real extent of virtual ink-handwriting, also can't to provide quantitative information and numerical analysis basement for the experts in a virtual brush model. Which requires a quantitative evaluation of virtual brush model for research and analysis developed for the virtual brush model in virtual ink-writing. On above reasons, how to Compare a virtual brush model for the virtual and real ink-handwriting better and reasonable,and to provide quantitative evaluation of analytical data, become a main issue of virtual brush model development at present.This paper is carry out on this issue.In this paper, the virtual brush model and real brush's characterized is research background,and discussion the virtual brush model for the virtual and real ink-handwriting on the work of quantitative assessment for virtual brush model,and quantitative analysis of data experts,has great significance in promote the development of virtual brush model.in the base of study of Image-matching Chinese character recognition technology, this paper research the mainly characteristics of the ink-handwriting image,and proposed to track the trajectory obtained ink brush pen moves skeleton line as virtual ink-writing and real ink-handwriting is an important basis for comparison and characteristics. Proposed two kinds methods of virtual ink-writing compare with real ink-handwriting image,before the comparison ink-handwriting on the virtual and real image should be preprocessing, including smoothing normalization the ink-handwriting image size, which is convenient the follow-up ink-handwriting image comparison. Express the first method of pixel-based ink-handwriting Compare which uses size of the area to carry out, make a detailed description of involving algorithms, including virtual and real ink-handwriting skeleton line alignment, alignment the image needs to be done during the transformation operation and similarity calculation. In the base of study and achieve the shape context matching techniques,combine the characteristics of this object of study and research the background and purpose of the proposed framework based on context compare the ink method, which is based on the image frame to describe the structure characteristics of ink, This method is based on structural features of this framework to describe the ink image, a skeleton key to solve the problem on the points correspond to the real ink and virtual ink skeleton points, a clear correspondence between the present method can not only be corresponding skeleton points, and skeleton point also includes ink regional information, the context of skeleton points can be determined by the ink regional information, while identifying the mutual position relationship of the skeleton points and the ink spots, then the problem is similar to ink the image into a skeleton Point of similar problems, calculate the similarity of the corresponding skeleton point, that is, calculate the similarity of the ink image on the corresponding skeleton point, and finally all the similarity of the corresponding skeleton point shall be similarity of real ink and virtual ink.Paper was achieved the proposed reference method. Expression the experiment results and analysis, and evaluated these two compared methods.