Commit 6293aebec14d49615bc161c3caa48e0610dcdeca
1 parent
1daaeabb
Bug fix in the negative value thresholding
Showing
1 changed file
with
119 additions
and
0 deletions
openbr/plugins/ltp.cpp
0 → 100644
| 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 | +#include <limits> | |
| 19 | +#include "openbr_internal.h" | |
| 20 | +#include <iostream> | |
| 21 | + | |
| 22 | +using namespace cv; | |
| 23 | + | |
| 24 | +namespace br | |
| 25 | +{ | |
| 26 | + | |
| 27 | +/*! | |
| 28 | + * \ingroup transforms | |
| 29 | + * \brief Tan, Xiaoyang, and Bill Triggs. "Enhanced local texture feature sets for face recognition under difficult lighting conditions." Analysis and Modeling of Faces and Gestures. Springer Berlin Heidelberg, 2007. 168-182. | |
| 30 | + * \author Brendan Klare \cite bklare | |
| 31 | + * \author Josh Klontz \cite jklontz | |
| 32 | + */ | |
| 33 | +class LTPTransform : public UntrainableTransform | |
| 34 | +{ | |
| 35 | + Q_OBJECT | |
| 36 | + Q_PROPERTY(int radius READ get_radius WRITE set_radius RESET reset_radius STORED false) | |
| 37 | + Q_PROPERTY(float threshold READ get_threshold WRITE set_threshold RESET reset_threshold STORED false) | |
| 38 | + BR_PROPERTY(int, radius, 1) | |
| 39 | + BR_PROPERTY(float, threshold, 0.1F) | |
| 40 | + | |
| 41 | + unsigned short lut[8][3]; | |
| 42 | + uchar null; | |
| 43 | + | |
| 44 | + void init() | |
| 45 | + { | |
| 46 | + unsigned short cnt = 0; | |
| 47 | + for (int i = 0; i < 8; i++) { | |
| 48 | + for (int j = 0; j < 3; j++) | |
| 49 | + lut[i][j] = cnt++; | |
| 50 | + cnt++; //we skip the 4th number (only three patterns) | |
| 51 | + } | |
| 52 | + } | |
| 53 | + | |
| 54 | + void project(const Template &src, Template &dst) const | |
| 55 | + { | |
| 56 | + Mat m; src.m().convertTo(m, CV_32F); assert(m.isContinuous() && (m.channels() == 1)); | |
| 57 | + | |
| 58 | + Mat n(m.rows, m.cols, CV_16U); | |
| 59 | + n = null; | |
| 60 | + float thresholdNeg = -1.0 * threshold; //compute once (can move to init) | |
| 61 | + | |
| 62 | + const float *p = (const float*)m.ptr(); | |
| 63 | + float diff; | |
| 64 | + for (int r=radius; r<m.rows-radius; r++) { | |
| 65 | + for (int c=radius; c<m.cols-radius; c++) { | |
| 66 | + const float cval = (p[(r+0*radius)*m.cols+c+0*radius]); | |
| 67 | + | |
| 68 | + diff = p[(r-1*radius)*m.cols+c-1*radius] - cval; | |
| 69 | + if (diff > threshold) n.at<unsigned short>(r,c) = lut[0][0]; | |
| 70 | + else if (diff < thresholdNeg) n.at<unsigned short>(r,c) = lut[0][1]; | |
| 71 | + else n.at<unsigned short>(r,c) = lut[0][2]; | |
| 72 | + | |
| 73 | + diff = p[(r-1*radius)*m.cols+c+0*radius] - cval; | |
| 74 | + if (diff > threshold) n.at<unsigned short>(r,c) += lut[1][0]; | |
| 75 | + else if (diff < thresholdNeg) n.at<unsigned short>(r,c) += lut[1][1]; | |
| 76 | + else n.at<unsigned short>(r,c) += lut[1][2]; | |
| 77 | + | |
| 78 | + diff = p[(r-1*radius)*m.cols+c+1*radius] - cval; | |
| 79 | + if (diff > threshold) n.at<unsigned short>(r,c) += lut[2][0]; | |
| 80 | + else if (diff < thresholdNeg) n.at<unsigned short>(r,c) += lut[2][1]; | |
| 81 | + else n.at<unsigned short>(r,c) += lut[2][2]; | |
| 82 | + | |
| 83 | + diff = p[(r+0*radius)*m.cols+c+1*radius] - cval; | |
| 84 | + if (diff > threshold) n.at<unsigned short>(r,c) += lut[3][0]; | |
| 85 | + else if (diff < thresholdNeg) n.at<unsigned short>(r,c) += lut[3][1]; | |
| 86 | + else n.at<unsigned short>(r,c) += lut[3][2]; | |
| 87 | + | |
| 88 | + diff = p[(r+1*radius)*m.cols+c+1*radius] - cval; | |
| 89 | + if (diff > threshold) n.at<unsigned short>(r,c) += lut[4][0]; | |
| 90 | + else if (diff < thresholdNeg) n.at<unsigned short>(r,c) += lut[4][1]; | |
| 91 | + else n.at<unsigned short>(r,c) += lut[4][2]; | |
| 92 | + | |
| 93 | + diff = p[(r+1*radius)*m.cols+c+0*radius] - cval; | |
| 94 | + if (diff > threshold) n.at<unsigned short>(r,c) += lut[5][0]; | |
| 95 | + else if (diff < thresholdNeg) n.at<unsigned short>(r,c) += lut[5][1]; | |
| 96 | + else n.at<unsigned short>(r,c) += lut[5][2]; | |
| 97 | + | |
| 98 | + diff = p[(r+1*radius)*m.cols+c-1*radius] - cval; | |
| 99 | + if (diff > threshold) n.at<unsigned short>(r,c) += lut[6][0]; | |
| 100 | + else if (diff < thresholdNeg) n.at<unsigned short>(r,c) += lut[6][1]; | |
| 101 | + else n.at<unsigned short>(r,c) += lut[6][2]; | |
| 102 | + | |
| 103 | + diff = p[(r+0*radius)*m.cols+c-1*radius] - cval; | |
| 104 | + if (diff > threshold) n.at<unsigned short>(r,c) += lut[7][0]; | |
| 105 | + else if (diff < thresholdNeg) n.at<unsigned short>(r,c) += lut[7][1]; | |
| 106 | + else n.at<unsigned short>(r,c) += lut[7][2]; | |
| 107 | + } | |
| 108 | + } | |
| 109 | + | |
| 110 | + dst += n; | |
| 111 | + } | |
| 112 | +}; | |
| 113 | + | |
| 114 | +BR_REGISTER(Transform, LTPTransform) | |
| 115 | + | |
| 116 | + | |
| 117 | +} // namespace br | |
| 118 | + | |
| 119 | +#include "ltp.moc" | ... | ... |