This function ObjectDetection is an implementation of the Detection in the Viola-Jones framework. In this framework Haar-like features are used for rapid object detection. It supports the trained classifiers in the XML files of OpenCV which can be download as part of the OPENCV software on opencv.willowgarage.com Objects=ObjectDetection(I,FilenameHaarcasade,Options) inputs, I : 2D image, or Filename of an image FilenameHaarcasade : The filename of a Matlab file with a Haarcasade which is created from an OpenCV xml file Options : A struct with options Options.ScaleUpdate : The scale update, default 1/1.2 Options.Resize : If boolean is true (default), the function will resize the image to maximum size 384 for less cpu-time Options.Verbose : Display process information outputs, Objects : An array n x 4 with [x y width height] of the detected objects Literature : - Rainer Linehart and Jochend Maydt, "An Extended Set of Haar-like Features for Rapid Object Detection" - Paul viola and Michael J. Jones, "Rapid Object Detection using a Boosted Cascade of Simple Features", 2001 Example 1,% % Convert an OpenCV classifier XML file to a Matlab file% ConvertHaarcasadeXMLOpenCV('HaarCascades/haarcascade_frontalface_alt.xml');% % Detect Faces% Options.Resize=false;% ObjectDetection('Images/1.jpg','HaarCascades/haarcascade_frontalface_alt.mat',Options);
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