在自然场景中使用计算机视觉估计数量和非数值视觉大小的分布
Kuinan Hou1, Marco Zorzi1,2, Alberto Testolin3,4
1Department of General Psychology, University of Padova, Padua, Italy.
Psychological research
|December 3, 2024
概括
人类的数值感随着年龄的增长而发展,可以在AI中出现. 这项研究揭示了自然图像遵循对象计数的功率定律,有助于理解数字感知中的视觉线索.
科学领域:
- 认知科学 认知科学
- 计算机视觉 计算机视觉
- 发展心理学 发展心理学
背景情况:
- 人类和动物有着近似的数字感,这种感觉是在童年时期发展起来的.
- 深度学习模型表明,从统计图像结构中可以出现数量感知.
- 现有的模型通常使用合成数据,而不是反映自然环境.
研究的目的:
- 用现实世界的图像数据集来调查人数感知.
- 分析自然场景中数字和非数字特征的分布和共发生.
- 了解影响人类数值感的生态因素.
主要方法:
- 开发了一个计算机视觉管道来分析大规模的现实世界图像数据集.
- 数量和连续大小的估计分布.
- 检查了数字性和其他视觉特征之间的相关结构.
主要成果:
- 自然场景中的数量分布遵循一个功率定律.
- 数量和连续大小之间的关系在不同场景类型中是一致的.
- 确定了数字和非数字视觉线索之间的稳定相关性模式.
结论:
- 自然场景的生态统计塑造了人数的感知.
- 权力定律分布是现实世界对象计数的特征.
- 了解共变的视觉线索对于解释数量判断至关重要.
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