Texture synthesis and perception: Using computational models to study texture representations in the human visual system
Texture synthesis and perception: Using computational models to study texture representations in the human visual system
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DOI：
10.1016/j.visres.2005.04.013
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发表时间：
2006-02-01
期刊：
影响因子：
1.8
通讯作者：
Balas, BJ
中科院分区：
文献类型：
--
作者：
Balas, BJ
传统上，纹理感知已经使用由随机点或重复形状组成的人工纹理进行了研究。与此同时，自然纹理合成的计算机算法也有了很大的改进。我们试图统一这两个领域通过一个特定的计算模型的心理物理评估，提供洞察统计数据是最重要的自然纹理感知。我们采用Portilla和Simoncelli的纹理合成算法，一个参数模型，模仿人类视觉中进行的计算。我们发现一个有趣的纹理类型（周期性的，结构化的，或3-D纹理）和图像统计（自相关函数和滤波器幅度相关性）之间的相互作用，这表明不同的表示可能会采用这些纹理家庭下预先注意观看。(c)2005爱思唯尔有限公司保留所有权利。
Traditionally, texture perception has been studied using artificial textures made of random dots or repeated shapes. At the same time, computer algorithms for natural texture synthesis have improved dramatically. We seek to unify these two fields through a psychophysical assessment of a particular computational model, providing insight into which statistics are most vital for natural texture perception. We employ Portilla and Simoncelli's texture synthesis algorithm, a parametric model that mimics computations carried out in human vision. We find an intriguing interaction between texture type (periodic, structured, or 3-D textures) and image statistics (autocorrelation function and filter magnitude correlations), suggesting different representations may be employed for these texture families under pre-attentive viewing. (c) 2005 Elsevier Ltd. All rights reserved.