摘要
提出了对稀疏纹理表面特征的新描述方法,并进行了纹理分类的研究。以往对纹理的研究大多是对2D纹理的研究,一般是通过大量的训练样本来完成纹理特征的提取。通过RANSAC估计两幅纹理的单应约束,提取两幅纹理的对应点,不仅可以提取一般纹理的特征,而且可以提取包含立体信息的纹理特征(如因为光照和视点的变化引起立体纹理的阴影变化等),通过对应点的提取使得不再需要大量的训练样本来进行纹理的特征提取。实验表明该算法可以较准确和快速地进行纹理特征提取和分类,使得纹理分类工作变得有较强的可行性和实用性。
The objective of this paper was the classification of textured materials from a single image obtained under unknown viewpeint and illumination. There were a lot of papers about 2D texture, less about 3D. The author set out to develop a texture representation that was invariant to geometric transformation that can be locally approximated by an affine model. Experiments show that the algorithm has more feasibility and availability of texture classification.
出处
《计算机应用研究》
CSCD
北大核心
2007年第3期306-308,共3页
Application Research of Computers
基金
国家科技部重大基础基金资助项目(国科基字2001(51))
关键词
纹理分类
特征提取
稀疏纹理
texture classification
feature measurement
sparse texture
