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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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Author (1)
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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Detecting facial landmarks

In the preceding section, by detecting faces with a cascade classifier provided by OpenCV we know which regions are faces in an image. But with only rectangular regions, we don't know many details about the faces: where are the eyes, eyebrows, and nose on the faces? In face recognition technology, we call these details facial landmarks. In this section, we will try to find a way to detect these facial landmarks.

Unfortunately, the OpenCV core modules don't provide an algorithm to detect facial landmarks, so we should resort to the face module, which is an extra OpenCV module.

Before using the face extra module, we must ensure that the module is installed on our computer. In Chapter 2, Editing Images Like a Pro, in the Building and installing OpenCV from the source section, we built and installed OpenCV v4.0.0 from a source without the extra...

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

Author (1)

author image
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