利用对比熵最小化分析婴儿注视模式

2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob) Pub Date : 2015-12-07 DOI:10.1109/DEVLRN.2015.7346124

Ali Mahdi, M. Schlesinger, Dima Amso, Jun Qin

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引用次数: 8

摘要

研究了人类视觉与自然场景统计之间的统计关系。对比是图像的基本属性。我们提出可以使用对比熵最小化来分析婴儿的视觉探索和学习发展。10名婴儿观看了16张自然主义图片。记录婴儿的注视。婴儿的凝视模式在个体婴儿之间进行比较。将婴儿与对比熵最小化预测的注视进行比较。结果表明，婴儿倾向于具有不同的注视模式，并且随着注视的进行，婴儿熵逐渐下降。

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Infants gaze pattern analyzing using contrast entropy minimization

Statistical relationships between human vision and natural scene statistics have been addressed. Contrast is fundamental image property. We proposed that infant visual exploration and learning development could be analyzed using contrast entropy minimization. Ten infants viewed 16 naturalistic images. Fixations of the infants were recorded. Infant gaze patterns are compared between individual infants. Infants are compared to the fixations predicted by the contrast entropy minimization. The results show that infant tends to have different gaze patterns, and infant entropy drops gradually as fixations are made.

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来源期刊

2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob)

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