Real Time Eye Detector with Cascaded Convolutional Neural Networks

Figure 7

CNNs’ output. The green points represent the selected eye candidate feature points. The indexes show the confidences and the regions predicted by the first set of CNNs. The magenta rectangle was selected as the final prediction result because it had the highest index, 0.89, and this eye was predicted to be the left eye. The eye region was fed into the second set of CNNs outputting the accurate eye center. The red cross represents the eye center.