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Infants gaze pattern analyzing using contrast entropy minimization

机译:使用对比度熵最小化的婴儿注视模式分析

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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.
机译:已经解决了人类视觉与自然场景统计之间的统计关系。对比度是基本的图像属性。我们建议可以使用对比度熵最小化来分析婴儿的视觉探索和学习发展。十个婴儿观看了16张自然图像。记录婴儿的注视。比较各个婴儿的婴儿注视方式。将婴儿与通过对比度熵最小化预测的注视点进行比较。结果表明,婴儿倾向于有不同的凝视模式,并且随着注视的进行,婴儿的熵会逐渐下降。

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