通过二次视觉机制计算的非局部对比度及其在识别面部情绪方面的意义
Vitaly V Babenko1, Denis V Yavna1, Pavel N Ermakov1
1Department of Psychophysiology and Clinical Psychology, Academy of Psychology and Education Sciences, Southern Federal University, Rostov-on-Don, Russian Federation.
F1000Research
|September 28, 2023
概括
具有较高对比度调制的区域是准确识别面部情绪的关键. 二级视觉过器可能会检测到这些信息区域,指导视觉注意力和处理.
科学领域:
- 视觉感知 视觉感知 视觉感知
- 认知神经科学 认知神经科学
背景情况:
- 面部检测和表情识别迅速发生在注意力之前.
- 面部属性对表情识别有不同的贡献.
- 现有的预注意机制缺乏针对特定面部特征的选择性.
研究的目的:
- 确定选择性面部特征处理的机制.
- 研究空间异质性和非局部对比变化的作用.
- 假设二级视觉过器作为信息面部区域的检测器.
主要方法:
- 开发软件来模仿二级视觉过器.
- 根据对比度调制幅度提取的图像区域.
- 呈现合成的面孔,对观察者进行识别和情绪识别任务的对比调制.
主要成果:
- 面部区域较高的对比调制幅度与更精确的情感识别相关.
- 确定了具有增加非局部对比度的信息区域.
结论:
- 具有较大的非局部对比度的区域在面部图像中更具信息性.
- 二级视觉过器可以检测感兴趣的区域并引导视觉注意力.
- 这些过器作为后续视觉处理的关键窗口.
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