A shape-from-texture algorithm based on human visual psychophysics
A shape-from-texture algorithm based on human visual psychophysics
复制标题
基于人类视觉心理物理学的纹理形状算法
DOI：
--
复制
发表时间：
1994
期刊：
影响因子：
--
通讯作者：
L. Finkel
中科院分区：
文献类型：
--
作者：
K. Sakai;L. Finkel
我们提出了一种算法，用于确定的三维形状和透视的基础上，人类视觉系统的视觉纹理的变化的反应。目前的计算机视觉算法是计算密集型的，并且在整合用于确定形状的额外线索（诸如阴影、轮廓或运动）方面显示出固有的困难。为了开发一种快速而简单的机制，以减少整合其他线索的限制，我们将VI中皮质细胞的生理特性方面纳入网络模型中。我们提供的心理物理证据表明，当地的空间频谱表示的空间平均峰值频率（APF）。在归一化之后，该APF测量纹理压缩并导致3D形状和深度的估计。该模型的模拟显示出良好的协议与人类的反应，一系列的纹理图像。<<ETX>>
We propose an algorithm for the determination of three dimensional shape and perspective based on the response of the human visual system to changes in visual textures. Current computer vision algorithms are computationally intensive and show inherent difficulties in integrating additional cues for the determination of shape, such as shading, contour, or motion. In order to develop a fast and simple mechanism less constrained for integrating other cues, we incorporated aspects of the physiological properties of cortical cells in VI into a network model. We provide psychophysical evidence that the local spatial frequency spectrum is represented by the spatially averaged peak frequency (APF). After normalization, this APF measures texture compression and leads to estimates of 3D shape and depth. Simulations of the model show good agreement with human responses to a range of textured images.<<ETX>>