A study on different experimental configurations for age, race, and gender estimation problems
A study on different experimental configurations for age, race, and gender estimation problems
复制标题
DOI：
10.1186/s13640-015-0089-y
复制
发表时间：
2015-11-20
影响因子：
2.4
通讯作者：
Distante, Cosimo
中科院分区：
文献类型：
--
作者：
Carcagni, Pierluigi;Del Coco, Marco;Distante, Cosimo
本文提出了一个详细的研究不同的算法配置估计软生物特征。特别是，最近推出的通用框架是研究的起点：它包括初始面部检测，随后的面部特征描述，数据减少步骤和最终分类步骤。算法配置的特征在于不同的描述符和不同的策略，以构建训练数据集并将输入的数据扩展到分类器。已经在公开可用的数据集和专门获取的图像序列上进行了实验证明，以便即使在真实的世界条件下也评估性能，即，在存在缩放和旋转的情况下。
This paper presents a detailed study about different algorithmic configurations for estimating soft biometric traits. In particular, a recently introduced common framework is the starting point of the study: it includes an initial facial detection, the subsequent facial traits description, the data reduction step, and the final classification step. The algorithmic configurations are featured by different descriptors and different strategies to build the training dataset and to scale the data in input to the classifier. Experimental proofs have been carried out on both publicly available datasets and image sequences specifically acquired in order to evaluate the performance even under real- world conditions, i.e., in the presence of scaling and rotation.