Sample-Based Texture Synthesis 基于样图纹理合成
Based on Sample 凭样检验
population-based sample 选自人群的样本
Iron-Based Sample 铁基样品
Sample Application based on SOA SOA应用实例
With the rapid development of computer 3d graphics and the increasing need of large size and high quality texture in recent years, sample-based texture synthesis became a hot research area.
随着近些年来计算机三维绘图能力的飞速提高和对大尺寸高质量纹理的强烈需求,基于样图的纹理合成成为热门研究领域之一。
So, a new sample-based classification algorithm, PSS, is proposed. AS, HS and VS algorithms which are parallel algorithms of PSS are presented also.
因此提出一种新的基于抽样的数据分类算法PSS,并提出三种PSS并行化算法AS,HS和VS算法。
For many sample-based texture synthesis algorithms using markov random field model, the size of neighborhood determines the quality and speed of texture synthesis.
在许多采用马尔可夫随机场模型的基于样图的纹理合成算法中,邻域的大小决定着这些合成算法的纹理合成质量和合成速度。
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