Summary
In this chapter, we learned about gathering three-dimensional information from bi-dimensional input (a video frame or an image). Firstly, we examined depth cameras, and then epipolar geometry and stereo images, so we are now able to calculate disparity maps. Finally, we looked at image segmentation with two of the most popular methods: GrabCut and Watershed.
This chapter has introduced us to the world of interpreting information provided by images and we are now ready to explore another important feature of OpenCV: feature descriptors and keypoint detection.
