The lawful imprecision of human surface tilt estimation in natural scenes
The lawful imprecision of human surface tilt estimation in natural scenes
复制标题
自然场景中人体表面倾斜估计的规律不精确性
作者：
Seha Kim;Johannes Burge
估计局部表面方向（倾斜和倾斜）是恢复环境三维结构的基础，但目前还不清楚人类在自然场景中执行这项任务的情况。在这里，与高保真数据库的自然立体图像与地面实况表面方向在每个像素，我们发现人类倾斜估计与自然和人工刺激的显着差异。在人工刺激下，估计是精确和无偏的。在自然刺激下，估计是不精确的，而且有很强的偏见。基于自然场景统计的图像可计算规范模型预测人类偏见，精度和试验误差，而无需将参数拟合到人类数据。这些相似之处表明，复杂的人类行为模式与自然刺激是合法的，人类视觉系统已经内化了局部图像和场景统计数据，以最佳地推断环境的三维结构。目前的结果有助于将我们对人类视觉的理解从实验室推广到真实的世界。
Estimating local surface orientation (slant and tilt) is fundamental to recovering the three-dimensional structure of the environment, but it is unknown how well humans perform this task in natural scenes. Here, with a high-fidelity database of natural stereo-images with groundtruth surface orientation at each pixel, we find dramatic differences in human tilt estimation with natural and artificial stimuli. With artificial stimuli, estimates are precise and unbiased. With natural stimuli, estimates are imprecise and strongly biased. An image-computable normative model grounded in natural scene statistics predicts human bias, precision, and trial-by-trial errors without fitting parameters to the human data. These similarities suggest that the complex human performance patterns with natural stimuli are lawful, and that human visual systems have internalized local image and scene statistics to optimally infer the three-dimensional structure of the environment. The current results help generalize our understanding of human vision from the lab to the real world.
影响因子：
2.5
作者：
Sanada, Takahisa M.;Nguyenkim, Jerry D.;DeAngelis, Gregory C.
通讯作者：
DeAngelis, Gregory C.
影响因子：
1.8
作者：
Hillis, JM;Watt, SJ;Banks, MS
通讯作者：
Banks, MS