Preliminary Studies on a Large Face Database
Preliminary Studies on a Large Face Database
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DOI：
10.1109/bigdata.2018.8622432
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发表时间：
2018-11
期刊：
影响因子：
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通讯作者：
B. Yip;G. Bingham;K. Kempfert;J. Fabish;T. Kling;Cuixian Chen;Yishi Wang
中科院分区：
文献类型：
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作者：
B. Yip;G. Bingham;K. Kempfert;J. Fabish;T. Kling;Cuixian Chen;Yishi Wang
我们进行了初步研究的大型纵向人脸数据库MORPH-II，这是在计算机视觉和模式识别领域的基准数据集。首先，我们总结了数据集中的不一致性，并介绍了清理的步骤和策略。这些不一致对先前的研究的潜在影响进行了介绍。接下来，我们提出了一个新的自动子集评估协议的计划。它的目的是克服MORPH-II的种族和性别分布不平衡，同时确保培训和测试集之间的独立性。最后，我们贡献了一个新的全球框架，年龄估计，利用后验概率从种族分类步骤计算种族复合年龄估计。MORPH-II的初步实验结果。
We perform preliminary studies on a large longitudinal face database MORPH-II, which is a benchmark dataset in the field of computer vision and pattern recognition. First, we summarize the inconsistencies in the dataset and introduce the steps and strategy taken for cleaning. The potential implications of these inconsistencies on prior research are introduced. Next, we propose a new automatic subsetting scheme for evaluation protocol. It is intended to overcome the unbalanced racial and gender distributions of MORPH-II, while ensuring independence between training and testing sets. Finally, we contribute a novel global framework for age estimation that utilizes posterior probabilities from the race classification step to compute a race-composite age estimate. Preliminary experimental results on MORPH-II are presented.