Summary

In this chapter, we discussed the concepts of facial recognition and object detection. In the first part, we discussed three popular classical algorithms for facial recognition. We started with the Eigenface method, and then we discussed its limitations. Then, we moved on to the next method, called Fisherface, and discussed how it solves the limitations of the Eigenface method. We looked into the limitations of Fisherface as well. Finally, we concluded our study of facial recognition with a look at the LBPH method. We have also implemented three different face recognizers using these three methods. We observed that these methods work well if the illumination of images is uniform, and if the face in the image is facing the camera head-on rather than at an angle.

In the second part, we discussed three different object detection algorithms. We started with a recently developed algorithm called MobileNet SSD. In this section, we discussed how SSD performs object detection in...