头发质地的定量评价

2015 IEEE International Symposium on Multimedia (ISM) Pub Date : 2015-12-01 DOI:10.1109/ISM.2015.43

W. Guo, P. Aarabi

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引用次数: 0

摘要

在本文中，我们定量地评估了毛发斑块中纹理的作用，其主要动机是了解机器学习系统在基于纹理的毛发检测中可以学习和应用什么。我们评估了梯度方向在发块中的分布，并探索了从100个手工剪影发型中选择的2870,000个发块与面部的接近度与梯度角度之间的关系。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Quantitative Evaluation of Hair Texture

In this paper, we quantitatively evaluate the role of texture in hair patches, with a primary motivation of understanding what can be learned and applied by machine learning systems for texture-based hair detection. We evaluate the distribution of gradient directions in hair patches, and explore the relation between proximity to the face and the angle of the gradients for 2,870,000 hair patches selected from 100 manually silhouetted hairstyles.

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来源期刊

2015 IEEE International Symposium on Multimedia (ISM)

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