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You're reading from  Qt 5 and OpenCV 4 Computer Vision Projects

Product typeBook
Published inJun 2019
Reading LevelIntermediate
PublisherPackt
ISBN-139781789532586
Edition1st Edition
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Zhuo Qingliang
Zhuo Qingliang
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Zhuo Qingliang

Zhuo Qingliang (a.k.a. KDr2 online) is presently working at Beijing Paoding Technology Co. LTD., a start-up Fintech company in China that is dedicated to improving the financial industry by using artificial intelligence technologies. He has over 10 years experience in Linux, C, C++, Python, Perl, and Java development. He is interested in programming, doing consulting work, participating in and contributing to the open source community (of course, includes the Julia community).
Read more about Zhuo Qingliang

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Chapter 4, Fun with Faces

  1. Can the LBP cascade classifier be used to detect faces by yourself?

Yes. Just use the OpenCV built-in lbpcascades/lbpcascade_frontalface_improved.xml classifier data file.

  1. There are a number of other algorithms that can be used to detect facial landmarks in the OpenCV library. The majority of these can be found at https://docs.opencv.org/4.0.0/db/dd8/classcv_1_1face_1_1Facemark.html. Try them for yourself.

Different functions can be used from the following link—https://docs.opencv.org/4.0.0/d4/d48/namespacecv_1_1face.html—to create different algorithm instances. All these algorithms have the same API as the one we used in the chapter, so you can try these algorithms easily by just changing their creation statement.

  1. How can a colored ornament be applied to faces?

In our project, both the video frame and the ornament are of the BGR format...

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Qt 5 and OpenCV 4 Computer Vision Projects
Published in: Jun 2019Publisher: PacktISBN-13: 9781789532586

Author (1)

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Zhuo Qingliang

Zhuo Qingliang (a.k.a. KDr2 online) is presently working at Beijing Paoding Technology Co. LTD., a start-up Fintech company in China that is dedicated to improving the financial industry by using artificial intelligence technologies. He has over 10 years experience in Linux, C, C++, Python, Perl, and Java development. He is interested in programming, doing consulting work, participating in and contributing to the open source community (of course, includes the Julia community).
Read more about Zhuo Qingliang