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Building Computer Vision Projects with OpenCV 4 and C++
book

Building Computer Vision Projects with OpenCV 4 and C++

by David Millan Escriva, Prateek Joshi, Vinicius G. Mendonca, Roy Shilkrot
March 2019
Intermediate to advanced
538 pages
13h 38m
English
Packt Publishing
Content preview from Building Computer Vision Projects with OpenCV 4 and C++

Eye search regions

For eye detection, it is important to crop the input image to just show the approximate eye region, just like doing face detection and then cropping to just a small rectangle where the left eye should be (if you are using the left eye detector), and the same for the right rectangle for the right eye detector.

If you just do eye detection on a whole face or whole photo, then it will be much slower and less reliable. Different eye detectors are better suited to different regions of the face; for example, the haarcascade_eye.xml detector works best if it only searches in a very tight region around the actual eye, whereas the haarcascade_mcs_lefteye.xml and haarcascade_lefteye_2splits.xml detect work best when there is a large ...

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Publisher Resources

ISBN: 9781838644673Supplemental Content