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