Peter M. Groen / openbr

Commit fa3e558618a7c3eae0771294ce9a243c8819d1a0

Authored by Josh Klontz
1 parent 0239196a

removed ebif

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Showing 1 changed file with 0 additions and 148 deletions
openbr/plugins/classification/ebif.cpp deleted
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1 -/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * *  
2 - * Copyright 2012 The MITRE Corporation *  
3 - * *  
4 - * Licensed under the Apache License, Version 2.0 (the "License"); *  
5 - * you may not use this file except in compliance with the License. *  
6 - * You may obtain a copy of the License at *  
7 - * *  
8 - * http://www.apache.org/licenses/LICENSE-2.0 *  
9 - * *  
10 - * Unless required by applicable law or agreed to in writing, software *  
11 - * distributed under the License is distributed on an "AS IS" BASIS, *  
12 - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. *  
13 - * See the License for the specific language governing permissions and *  
14 - * limitations under the License. *  
15 - * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * */  
16 -  
17 -#include <opencv2/imgproc/imgproc.hpp>  
18 -  
19 -#include <openbr/plugins/openbr_internal.h>  
20 -#include <openbr/core/common.h>  
21 -#include <openbr/core/opencvutils.h>  
22 -  
23 -using namespace cv;  
24 -  
25 -namespace br  
26 -{  
27 -  
28 -/*!  
29 - * \ingroup transforms  
30 - * \brief Face Recognition Using Early Biologically Inspired Features  
31 - * \br_paper Li, Min, et al.  
32 - * "Face recognition using early biologically inspired features."  
33 - * Biometrics: Theory, Applications and Systems (BTAS), 2013 IEEE Sixth International Conference on. IEEE, 2013.  
34 - * \author Josh Klontz \cite jklontz  
35 - * \br_property int N The number of scales. Default is 6.  
36 - * \br_property int M The number of orientations between 0 and pi. Default is 9.  
37 - */  
38 -class EBIFTransform : public UntrainableTransform  
39 -{  
40 - Q_OBJECT  
41 - Q_PROPERTY(int N READ get_N WRITE set_N RESET reset_N STORED false) // scales  
42 - Q_PROPERTY(int M READ get_M WRITE set_M RESET reset_M STORED false) // orientations  
43 - BR_PROPERTY(int, N, 6)  
44 - BR_PROPERTY(int, M, 9)  
45 -  
46 - QList<Transform*> orientations;  
47 -  
48 - void init()  
49 - {  
50 - for (int m=0; m<M; m++)  
51 - orientations.append(make(QString("Gabor(%1,%2,%3,%4,%5,Phase)+Abs").arg(  
52 - QString::number(5), // lambda = 5 (just one wavelength)  
53 - QString::number(CV_PI*m/M), // M orientations between 0 and pi  
54 - QString::number(0), // psi = 0 (no offset)  
55 - QString::number(3), // sigma = 3 (just one width)  
56 - QString::number(1) // gamma = 1 (no skew)  
57 - )));  
58 - }  
59 -  
60 - void project(const Template &src, Template &dst) const  
61 - {  
62 - // Compute the image pyramid  
63 - Template scales;  
64 - float scaleFactor = 1;  
65 - for (int n=0; n<N; n++) {  
66 - Mat scale;  
67 - const int width = src.m().cols * scaleFactor;  
68 - const int height = src.m().rows * scaleFactor;  
69 - resize(src, scale, Size(width, height));  
70 - scale.convertTo(scale, CV_32F);  
71 - scales.append(scale);  
72 - scaleFactor /= sqrt(2.f);  
73 - }  
74 -  
75 - // Mean and standard deviation pooling  
76 - QList< QList<float> > features;  
77 - foreach (Transform *orientation, orientations) {  
78 - // Compute the reponse wavelet response  
79 - Template response;  
80 - orientation->project(scales, response);  
81 -  
82 - // Pool for each two adjacent features  
83 - QList<float> orientedFeatures;  
84 - for (int i=0; i<N-1; i++)  
85 - orientedFeatures.append(pool(response[i], response[i+1]));  
86 - features.append(orientedFeatures);  
87 - }  
88 -  
89 - // L2 normalization across orientations  
90 - for (int i=0; i<features.first().size(); i++) {  
91 - float squaredSum = 0;  
92 - for (int m=0; m<M; m++) {  
93 - const float val = features[m][i];  
94 - squaredSum += val * val;  
95 - }  
96 - const float norm = 1/sqrt(squaredSum + 0.001 /* Avoid division by zero */);  
97 - for (int m=0; m<M; m++)  
98 - features[m][i] *= norm;  
99 - }  
100 -  
101 - // Group features by location (not done in paper)  
102 - for (int i=0; i<features.first().size(); i+=2) {  
103 - QList<float> localFeatures; localFeatures.reserve(2*M);  
104 - for (int m=0; m<M; m++) {  
105 - localFeatures.append(features[m][i]); // mean  
106 - localFeatures.append(features[m][i+1]); // standard deviation  
107 - }  
108 - dst += OpenCVUtils::toMat(localFeatures);  
109 - }  
110 - }  
111 -  
112 - QList<float> pool(const Mat &bottom, const Mat &top) const  
113 - {  
114 - QList<float> features;  
115 - for (int i=0; i<=top.rows-3; i+=3) {  
116 - for (int j=0; j<=top.cols-3; j+=3) {  
117 - QList<float> vals; vals.reserve(3*3 + 4*4);  
118 -  
119 - // Top values  
120 - for (int k=0; k<3; k++) {  
121 - const float *data = top.ptr<float>(i+k, j);  
122 - for (int l=0; l<3; l++)  
123 - vals.append(data[l]);  
124 - }  
125 -  
126 - // Bottom values  
127 - for (int k=0; k<4; k++) {  
128 - const float *data = bottom.ptr<float>(4*i/3+k, 4*j/3);  
129 - for (int l=0; l<4; l++)  
130 - vals.append(data[l]);  
131 - }  
132 -  
133 - double mean, stddev;  
134 - Common::MeanStdDev(vals, &mean, &stddev);  
135 - features.append(mean);  
136 - features.append(stddev);  
137 - }  
138 - }  
139 -  
140 - return features;  
141 - }  
142 -};  
143 -  
144 -BR_REGISTER(Transform, EBIFTransform)  
145 -  
146 -} // namespace br  
147 -  
148 -#include "classification/ebif.moc"