Summary

Face recognition is a computer vision success story, despite the complications arising from various skin colors, orientations, facial expressions, hair colors, and lighting conditions. In this chapter, we learned the techniques for facial detection. For each of these techniques, you need to remember that facial detection requires a lot of trained images. Face detection is being widely used in many video surveillance applications, and standard APIs are available for both cloud-based and edge devices from Google, Amazon, Microsoft, and Intel, among others. We will learn about the cloud-based API in Chapter 11, Deep Learning on Edge Devices with CPU/GPU Optimization, and techniques for CNN in Chapter 4, Deep Learning on Images, and Chapter 5, Neural Network Architecture and Models. In this chapter, the CNN model for face detection and expression classification was briefly...