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Texture Based Fractal Imagery Modeling, Rendering and Morphing Algorithm

Author: ZhuangYiXin
Tutor: XiongYueShan
School: National University of Defense Science and Technology
Course: Computer Science and Technology
Keywords: Texture iterated function system model Fractal modeling Fractal rendering Local attractor approximate convex hull Rotation match Fractal deformation
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 68
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Abstract


Fractal Graphics is one of the computer graphics research field of fractal model scene with fractal characteristics, the use of fractal images draw method and fractal deformation techniques generate color-rich, shape changing of fractal images aliquots shaped GRAPHICS key technology Research is becoming more and more mature. The fractal modeling has a concise description of the general rendering algorithm, based on fractal geometry graphics research has great appeal. Based on fractal model studies have focused on scene modeling and image compression field. Large number of objects is difficult to use the existing fractal modeling, this paper presents a new fractal model for solving a class of fractal modeling complex scenes with local self-similar characteristics at the same time create a new model to adapt to new fractal image rendering method, and finally improved fractal deformation method, so that it can not distortion, continuous simulation of dynamic scenes. The main contribution of this work and innovation are summarized as follows:. Textured fractal model (Texture based IFS): a large number of self-similar color and texture features for internal (understandable to local self-similarity) scene from the scene. \pull all the texture and look all sub image texture similar to this, constructor the graphics spell postings Figure go texture (sub-image), this calculation to get a set of compression affine transformation, constitute TIFS. Fractal image rendering algorithm based on texture: the use of the the VVR algorithm to generate a set of vectors, according to the number of iterations to select the appropriate length and width, in order to determine a set of rectangular regions with similar texture mapped to all regions generated local fractal image rendering algorithm further improved; the TIFS model based on the real object scene, texture \3 IFS local building algorithm and based on the characteristics of the local attractor approximate convex hull and rotating match corresponding approximate convex hull; fractal characteristics corresponding deformation first need, this article will feature correspondences between IFS attractor from the previously determined compression affine The transformation of a one-to-one into a group of similar match to find the local convex hull, the fractal attractor deformation, rotation match guarantee similar parts of the deformation process without distortion. 4. TIFS model the deformation of fractal algorithms: the real and non-real object-based TIFS model carried deformation First conducted IFS between the characteristics corresponding, by linear interpolation to generate a group of middle of the IFS, and the use of texture fractal image drawing algorithm drawing the intermediate image, thereby obtaining a moving image. Last simulate the real fireworks bloom, real-time and efficient algorithm, and the results are more realistic, and simulated Suiye animation, to achieve shape has fractal characteristics inherent fragmentation of fern leaf TIFS and maple leaves of TIFS its deformation process. This article fractal modeling method is simple, easy to select the main texture through interactive collage IFS involving polygon conversion and easy operation. Fractal image with textured images of fractal effects add rich content, combined with iterated function system fractal deformation texture, you can simulate the real static and dynamic scenes, to promote the application of fractal graphics.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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