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Frontal face dataset by: http://www.vision.caltech.edu/html-files/archive.html ------------ Frontal face dataset. Collected by Markus Weber at California Institute of Technology. 450 face images. 896 x 592 pixels. Jpeg format. 27 or so unique people under with different lighting/expressions/backgrounds. ImageData.mat is a Matlab file containing the variable SubDir_Data which is an 8 x 450 matrix. Each column of this matrix hold the coordinates of the bike within the image, in the form: [x_bot_left y_bot_left x_top_left y_top_left ... x_top_right y_top_right x_bot_right y_bot_right] ------------ R. Fergus 15/02/03 ------------ Face-detection and depth effect Code written by: Jui-Wen, Yeh, for robotic vision final report. Using Viola-Jones method and Kanade-Lucas-Tomasi method for characteristic point detection, drawing a circle with Gaussian blur to do the effect ------------ Jui-Wen, Yeh 15/06/19
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Using Matlab to do a background-blur effect, using Caltech's computational vision datasets
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