sustaining_gazes/matlab_version/face_detection/face_detection_yu/faceAlign.m

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2016-04-28 21:40:36 +02:00
% Function:
% [shape, pglobal, visible] = faceAlign(img, Model, l_shape)
%
% Usage:
% This function localizes facial landmarks in a facial image or tracks
% the facial landmarks in an image sequence. For tracking, each frame of
% a video is sent as an input image and the tracked facial landmarks in
% the previous frame is sent as initial landmarks for the current frame.
% The outputs are well-aligned landmark coordinates, head pose
% information and the visibility of each landmark.
%
% Params:
% img - input image matrix,
% Model - pre-trained face model and parameters,
% l_shape - initial landmark positions
% - (132 x 1) matrix of which the first 66 are x coordinates
% and the following 66 are y coordinates.
% - if l_shape = [], the function calls our initialization procedure,
% which takes up the most time.
% - if l_shape ~= [], the function directly calls fitting procedure which
% is guaranteed real-time even with matlab. Thus tracking is promising
% with this code.
%
% Return:
% shape - predicted landmarks
% - (132 x 1) matrix of which the first 66 are x coordinates
% and the following 66 are y coordinates.
% - [] if no face detected
% pglobal - head pose information (1x6)
% (1) - scale
% (2) - pitch
% (3) - yaw
% (4) - roll
% (5) - shift of x coordinates from reference shape
% (6) - shift of y coordinates from reference shape
% visible - indicator vector for each landmarks' visibility
% - (66 x 1) 0/1 elements
% Authors:
% Xiang Yu, yuxiang03@gmail.com
%
% Citation:
% X. Yu, J. Huang, S. Zhang, W. Yan and D.N. Metaxas, Pose-free Facial
% Landmark Fitting via Optimized Part Mixures and Cascaded Deformable
% Shape Model. In ICCV, 2013.
%
% Creation Date: 10/12/2013
%