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OpenCV Computer Vision with Java

You're reading from   OpenCV Computer Vision with Java Create multiplatform computer vision desktop and web applications using the combination of OpenCV and Java

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Product type Paperback
Published in Jul 2015
Publisher
ISBN-13 9781783283972
Length 174 pages
Edition 1st Edition
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Author (1):
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Daniel Lelis Baggio Daniel Lelis Baggio
Author Profile Icon Daniel Lelis Baggio
Daniel Lelis Baggio
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Table of Contents (9) Chapters Close

Preface 1. Setting Up OpenCV for Java FREE CHAPTER 2. Handling Matrices, Files, Cameras, and GUIs 3. Image Filters and Morphological Operators 4. Image Transforms 5. Object Detection Using Ada Boost and Haar Cascades 6. Detecting Foreground and Background Regions and Depth with a Kinect Device 7. OpenCV on the Server Side Index

Detection


OpenCV already comes with several previously-trained cascades that are ready to be used. Among them, we can find front and profile face detectors as well as eye, body, mouth, nose, lower-body, and upper-body detectors. In this section, we will cover how to use them. The complete source can be found in the project cascade in this chapter.

The following code shows how to load a trained cascade:

private void loadCascade() {
  String cascadePath = "src/main/resources/cascades/lbpcascade_frontalface.xml";
  faceDetector = new CascadeClassifier(cascadePath);
}

Most of the action happens in the class CascadeClassifier, from the objdetect package. This class wraps cascade loading and object detection. The constructor with strings already loads the cascade from the given path. In case you want to postpone the cascade name, you can use the empty constructor and the load method.

The runMainLoop method, which is not shown here, will simply grab an image from the webcam and pass it to detectAndDrawFace...

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