Network algorithm for shape-from-texture based on human visual psychophysics and computational analysis

@article{Sakai1999NetworkAF,
  title={Network algorithm for shape-from-texture based on human visual psychophysics and computational analysis},
  author={Ko Sakai},
  journal={Systems and Computers in Japan},
  year={1999},
  volume={30},
  pages={9-17}
}
A computational model of a visual system is proposed in terms of perception of shape and depth from texture. Humans can perceive 3D shape and depth from texture variation. In this study, the relationships between spectral features and 3D perception are examined using stimuli with varied frequency spectra generated from white noise. Experimental results suggest that frequency spectra in the human visual system are characterized by the average peak frequency for both perspective and orthographic… CONTINUE READING