好闷

The physical beauty of faces affects many social outcomes. The secrets of facial beauty have attracted the attention of researchers from many fields. Recently, computer-based facial beauty analysis has become an emerging research topic, which has many potential applications. This chapter reviews the history of facial beauty research, discusses the key problems and challenges in computer-based facial beauty analysis, and introduces the databases used in the following chapters. After reading this chapter, people will have some shallow ideas on computer-based facial beauty analysis.

Deep learning is a computer software that mimics the network of neurons in a brain. It is a subset of machine learning and is called deep learning because it makes use of deep neural networks.

Computer vision has become increasingly important and effective in recent years due to its wide-ranging applications in areas as diverse as smart surveillance and monitoring, health and medicine, sports and recreation, robotics, drones, and self-driving cars. Visual recognition tasks, such as image classification, localization, and detection, are the core building blocks of many of these applications, and recent developments in Convolutional Neural Networks (CNNs) have led to outstanding performance in these state-of-the-art visual recognition tasks and systems. As a result, CNNs now form the crux of deep learning algorithms in computer vision.