OpenCV 3.x with Python By Example by Gabriel Garrido

Author:Gabriel Garrido
Language: eng
Format: epub
Tags: COM051360 - COMPUTERS / Programming Languages / Python, COM051390 - COMPUTERS / Programming / Open Source, COM016000 - COMPUTERS / Computer Vision and Pattern Recognition
Publisher: Packt Publishing
Published: 2018-01-16T05:47:30+00:00

# draw only the location of the keypoints without size or orientation

cv2.drawKeypoints(input_image, keypoints, input_image, color=(0,255,0))

cv2.imshow('ORB keypoints', input_image)

cv2.waitKey()

Summary

In this chapter, we learned about the importance of keypoints and why we need them. We discussed various algorithms for detecting keypoints and computing feature descriptors. We will be using these algorithms in all the subsequent chapters in various contexts. The concept of keypoints is central to computer vision, and plays an important role in many modern systems.

In the next chapter, we are going to discuss how to stitch multiple images of the same scene together to create a panoramic image.

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