On-the-fly fashion photograph recommendation system with robust face shape features
On-the-fly fashion photograph recommendation system with robust face shape features
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DOI：
10.1109/icce.2014.6776105
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发表时间：
2014
期刊：
影响因子：
--
通讯作者：
Wan-Yu Chen;Jia-Lin Chen;Liang-Gee Chen
中科院分区：
文献类型：
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作者：
Wan-Yu Chen;Jia-Lin Chen;Liang-Gee Chen
在本文中，我们展示了一种新的方法来检索具有鲁棒脸型特征的时尚照片，这是一个具有挑战性的问题，因为不同的脸朝向，不同的脸大小和光照环境的变化。此外，我们还提供了一个新的数据集来标记8个脸型类别，为未来的脸型分类研究提供了基础。我们还通过提出的脸型特征给出了实验结果，脸型分类准确率达到94%。最后，我们演示了基于脸型的时尚照片推荐系统的动态原型应用程序。
In this paper, we demonstrate a novel method for retrieving fashion photographs with robust face shape features, a challenging problem due to the different face orientations, variant face size, and variation in lighting environment. In addition, we provide a novel dataset for labeling eight face shape categories, to enable future research on face shape classification. We also present experimental results through the proposed face shape features to reach 94% accuracy of face shape classification. Finally, we demonstrate an on-the-fly prototype application for the face-shape-dependent fashion photo recommendation system.