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In this work, we investigate an unsupervised neural network framework for the problem of facial image age estimation. Unlike previous approaches in age estimation where a predefined feature extraction framework is used, the features used in this work are directly learned from the data. A single-layer convolutional neural network and recursive convolutional neural networks are used to extract features...
Human age provides key demographic information. It is also considered as an important soft biometric trait for human identification or search. Compared to other pattern recognition problems (e.g., object classification, scene categorization), age estimation is much more challenging since the difference between facial images with age variations can be more subtle and the process of aging varies greatly...
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