80 lines
2.2 KiB
Mathematica
80 lines
2.2 KiB
Mathematica
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% Function:
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% demo
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%
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% Usage:
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% This function demonstrates how to call the functions we provided to
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% detect facial landmarks and get pose information. In the demo version,
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% we only choose the largest face ROI detected to further localize its
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% landmraks. And the current version is only suitable for windows
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% platform. The matlab version is recommended above R2009a and the C++
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% compiler above MS. Visual C++ 9.0. Those versions before are not tested.
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%
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% Params:
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% None
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%
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% Return: None
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%
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% Author:
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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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function demo()
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clear all;
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close all;
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clc;
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addpath('.\model');
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S = load('model_param.mat');
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Model = S.Model;
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pc_version = computer();
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if(strcmp(pc_version,'PCWIN')) % currently the code just supports windows OS
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addpath('.\face_detect_32');
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addpath('.\mex_32');
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elseif(strcmp(pc_version, 'PCWIN64'))
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addpath('.\face_detect_64');
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addpath('.\mex_64');
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end
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Model.frontalL = @(X) Select(X, Model.frontal_landmark);
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Model.leftL = @(X) Select(X, Model.left_landmark);
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Model.rightL = @(X) Select(X, Model.right_landmark);
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% change your image folder and image name here
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img_fold = '.\test\';
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img_name = '4.jpg';
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img = imread([img_fold,img_name]);
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%------------------------------------------------------------------
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% 3 types of face alignment input
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% (1) no initial landmarks
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% [shape, pglobal, visible] = faceAlign(img, Model, []);
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%
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% (2) initial landmarks
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% l_shape = [xxx...x yyy...yy] input should be set by user
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% [shape, pglobal, visible] = faceAlign(img, Model, l_shape);
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load('test.mat');
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% img = image;
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[shape, pglobal, visible] = faceAlign(img, Model, []);
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figure,
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% imshow(imread([img_fold,img_name]));
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imshow(img);
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hold on;
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if(~isempty(shape))
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% input: shape, visible, line_color, marker color, marker size, line width, style
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drawLine(reshape(shape,Model.nPts,2), visible, 'b', 'g', 5, 2, '.');
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hold off;
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end
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function Y = Select(X, rows) % x,y,z,x,y,z,...
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Y1 = X(3*(rows-1)+1, :);
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Y2 = X(3*(rows-1)+2, :);
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Y3 = X(3*(rows-1)+3, :);
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Y = [Y1; Y2; Y3];
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