Intel Perceptual Computing SDK \u3068\u306f<\/h3>\n
Intel Perceptual Computing SDK (\u4ee5\u4e0b\u3001PerC)\u306f\u3001\u9854\u3084\u97f3\u58f0\u3001\u624b\u3084\u6307\u306e\u52d5\u4f5c\u306b\u3088\u3063\u3066\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u3092\u64cd\u4f5c\u3059\u308bNUI\uff08Natural User Interface)\u3092\u958b\u767a\u3059\u308b\u305f\u3081\u306eSDK\u3067\u3059\u3002\u624b\u306e\u6307\u306e\u8a8d\u8b58\u306a\u3069\u306b\u306fSenz3D \u306a\u3069\u306e\u6df1\u5ea6\u3092\u8a8d\u8b58\u3059\u308b\u30ab\u30e1\u30e9\uff08Depth \u30ab\u30e1\u30e9\uff09\u304c\u5fc5\u8981\u306a\u3082\u306e\u306e\u3001\u9854\u306e\u8a8d\u8b58\u306f\u901a\u5e38\u306e\u30ab\u30e1\u30e9\u3001\u540c\u69d8\u306b\u97f3\u58f0\u8a8d\u8b58\u3068\u5408\u6210\u306f\u901a\u5e38\u306e\u30de\u30a4\u30af\u3084\u30b9\u30d4\u30fc\u30ab\u30fc\u304c\u3042\u308c\u3070\u4f5c\u6210\u3057\u305f\u30a2\u30d7\u30ea\u3092\u52d5\u304b\u3057\u3066\u307f\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n
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\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u3092\u4f5c\u308b\u3000<\/h3>\n
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\n\u3056\u3063\u304f\u308a\u3068\u3057\u305f\u30d7\u30ed\u30b0\u30e9\u30e0\u306e\u6d41\u308c\u306f\u4ee5\u4e0b\u306e\u901a\u308a\u3067\u3059\u3002<\/p>\n
- \n
- \u8868\u60c5\u8a8d\u8b58\u6a5f\u80fd\u3092\u5229\u7528\u53ef\u80fd\u306b\u8a2d\u5b9a\u3059\u308b<\/li>\n
- \u30ab\u30e1\u30e9\u3067\u64ae\u3063\u3066\u3044\u308b\u753b\u50cf\u3092\u8868\u793a\u3059\u308b\u3002<\/li>\n
- \u9854\u60c5\u5831\u3092\u53d6\u5f97\u3059\u308b<\/li>\n
- \u8868\u60c5\u60c5\u5831\u3092\u53d6\u5f97\u3059\u308b<\/li>\n
- 7\u7a2e\u306e\u8868\u60c5\u306e\u3046\u3061\u300c\u559c\u3073\u300d\u3067\u3042\u308b\u5ea6\u5408\u3044\u304c\u6700\u3082\u9ad8\u304f\u304b\u3064\u305d\u308c\u304c0.4\u4ee5\u4e0a\u306e\u3068\u304d\u306f\u30012\u306e\u9854\u306e\u4e0a\u306e\u4f4d\u7f6e\u306b\u30a2\u30d5\u30ed\u753b\u50cf\u3092\u8868\u793a\u3059\u308b\u3002\n<\/ol>\n
\u958b\u767a\u306b\u3042\u305f\u308a\u3001Perc\u306b\u95a2\u3057\u3066\u306f\u3053\u306e\u9023\u8f09<\/a>\u3092\u3001opencv\u306b\u95a2\u3057\u3066\u306f\u3053\u306e\u8a18\u4e8b<\/a>\u3092\u53c2\u8003\u3001\u3068\u3044\u3046\u3088\u308a\u306f\u307e\u308b\u3063\u3068\u30b3\u30d4\u30fc\u3057\u307e\u3057\u305f\u3002\u672c\u5f53\u306b\u3042\u308a\u304c\u3068\u3046\u3054\u3056\u3044\u307e\u3059\u3002<\/p>\n
\u305d\u308c\u3067\u306f\u9806\u306b\u307f\u3066\u3044\u304d\u307e\u3057\u3087\u3046\u3002 <\/p>\n
\u958b\u767a\u74b0\u5883\u306e\u69cb\u7bc9<\/h3>\n
\u307e\u305a\u306f\u3001\u958b\u767a\u74b0\u5883\u306e\u4f5c\u6210\u3067\u3059\u3002\u4eca\u56de\u3001\u30ab\u30e1\u30e9\u304b\u3089\u306e\u9854\u3084\u8868\u60c5\u306a\u3069\u306e\u60c5\u5831\u306e\u53d6\u5f97\u306fPerC\u3001\u51fa\u529b\u306fOpenCV\u3092\u5229\u7528\u3057\u307e\u3057\u305f\u3002\u958b\u767a\u8a00\u8a9e\u306fC++\u3067\u3059\u3002\u3053\u308c\u3089\u3092\u5229\u7528\u3057\u305f\u30a2\u30d7\u30ea\u306e\u958b\u767a\u74b0\u5883\u3092Visual Studio Express 2012 \u306b\u7528\u610f\u3057\u307e\u3057\u305f\u3002\u958b\u767a\u74b0\u5883\u306e\u4f5c\u308a\u65b9\u306f\u3001\u8a18\u4e8b\u300cIntel Perceptual Computing\uff08PerC\uff09 SDK\u306e\u6982\u8981\u3068\u74b0\u5883\u69cb\u7bc9<\/a>\u300d\u304a\u3088\u3073\u8a18\u4e8b\u300cColor\u30ab\u30e1\u30e9\u3092\u4f7f\u3063\u3066\u9854\u3092\u691c\u51fa\u3059\u308b<\/a>\u300d\u306e\u901a\u308a\u306b\u5b9f\u884c\u3057\u307e\u3057\u305f\u306e\u3067\u3001\u305d\u3061\u3089\u3092\u53c2\u8003\u306b\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n
\u30d7\u30ed\u30b0\u30e9\u30e0<\/h3>\n
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\n[c language=\"++\" title=\"HappyAfro.cpp\"]
\n\/\/ HappyAfro.cpp
\n\/\/<\/p>\n#include \"stdafx.h\"
\n#include \"util_pipeline.h\"
\n#include \"opencv2\\opencv.hpp\"<\/p>\nconst int NUM_PRIMARY_EMOTIONS = 7;<\/p>\n
const int JOY_INDEX =4;<\/p>\n
class Pipeline: public UtilPipeline {
\nprotected:<\/p>\nint Width;
\n int Height;
\n cv::Mat afro ;
\n PXCImage::ColorFormat colorFormat;<\/p>\npublic:
\n Pipeline()
\n : UtilPipeline()
\n , colorFormat( PXCImage::COLOR_FORMAT_RGB32 )
\n , afro( cv::imread(\"afro.png\", -1))
\n {
\n \/\/ \u8868\u60c5\u8a8d\u8b58\u6a5f\u80fd\u3092\u6709\u52b9\u306b\u3059\u308b
\n EnableEmotion();
\n }<\/p>\nvirtual bool OnNewFrame()
\n {
\n try {
\n \/\/ \u30ab\u30e1\u30e9\u304c\u6620\u3057\u305f\u753b\u50cf\u60c5\u5831\u3001\u9854\u30fb\u8868\u60c5\u60c5\u5831\u3092\u53d6\u5f97\u3059\u308b
\n auto colorFrame = QueryImage( PXCImage::IMAGE_TYPE_COLOR );
\n auto emotionalFrame = QueryEmotion();<\/p>\n\/\/ \u30c7\u30fc\u30bf\u3092\u89e3\u6790\u3057\u8868\u793a\u753b\u50cf\u3092\u4f5c\u6210\u3059\u308b
\n cv::Mat colorImage = getColorData( colorFrame );
\n drawFaceDetection( colorImage, emotionalFrame );
\n \/\/ \u8868\u793a\u3059\u308b
\n cv::imshow( \"Color Camera\", colorImage );<\/p>\n}
\n catch ( std::exception& ex ) {
\n std::cout << ex.what() << std::endl;\n }\n \n auto key = cv::waitKey( 10 );\n return key != 'q';\n }\n \n \/\/\u753b\u50cf\u30c7\u30fc\u30bf\u3092\u53d6\u5f97\u3059\u308b\n cv::Mat getColorData(PXCImage* colorFrame )\n {\n \/\/\u753b\u50cf\u306e\u9ad8\u3055\u3092\u53d6\u5f97\u3059\u308b\n PXCImage::ImageInfo info;\n colorFrame->QueryInfo(&info);
\n Height = info.height;<\/p>\n\/\/ \u753b\u50cf\u30c7\u30fc\u30bf\u3092\u53d6\u5f97\u3059\u308b
\n PXCImage::ImageData data = { 0 };
\n auto sts = colorFrame->AcquireAccess( PXCImage::ACCESS_READ, colorFormat, &data );
\n if ( sts < PXC_STATUS_NO_ERROR ) {\n cv::Mat colorImage(0,0,CV_8UC4);\n return colorImage;\n }\n \n Width = data.pitches[0] \/4 ;\n cv::Mat colorImage( Height, Width, CV_8UC4 );\n \n \/\/ \u753b\u50cf\u30c7\u30fc\u30bf\u3092\u53ef\u8996\u5316\u3059\u308b\n memcpy( colorImage.data, data.planes[0], data.pitches[0] * Height );\n \n \/\/ \u753b\u50cf\u30c7\u30fc\u30bf\u3092\u89e3\u653e\u3059\u308b\n colorFrame->ReleaseAccess( &data );
\n return colorImage;
\n }<\/p>\n\/\/ \u9854\u3001\u8868\u60c5\u8a8d\u8b58\u30c7\u30fc\u30bf\u3092\u53d6\u5f97\u3059\u308b
\n void drawFaceDetection( cv::Mat& colorImage, PXCEmotion* emotionDet )
\n {
\n \/\/\u8a8d\u8b58\u3057\u305f\u9854\u306e\u6570\u3092\u53d6\u5f97\u3059\u308b
\n int numFaces = 0;
\n PXCEmotion::EmotionData arrData[10];
\n numFaces = emotionDet->QueryNumFaces();
\n for(int i=0; i < numFaces; i++){\n \/\/\u9854\u3054\u3068\u306b\u8868\u60c5\u60c5\u5831\u3092\u53d6\u5f97\u3059\u308b\n emotionDet->QueryAllEmotionData(i, &arrData[0]);<\/p>\n\/\/\u3069\u306e\u8868\u60c5\u306e\u5ea6\u5408\u3044\u304c\u6700\u3082\u9ad8\u3044\u304b
\n int epidx= -1; pxcI32 maxscoreE = -3; pxcF32 maxscoreI = 0;
\n for (int i=0;i
\n \/\/\u30a2\u30d5\u30ed\u753b\u50cf\u306e\u5927\u304d\u3055\u3092\u6574\u3048\u3001\u9854\u306e\u4e0a\u306b\u8868\u793a\u3059\u308b
\n \/\/\u30a2\u30d5\u30ed\u306e\u5927\u304d\u3055\u3092\u3001\u9854\u306e\u5e45\u306e2.5\u500d\u3001\u9854\u306e\u9ad8\u3055\u306e2\u500d\u306b\u8a2d\u5b9a
\n cv::Mat fineAfro(arrData->rectangle.h * 2, arrData->rectangle.w * 2.5, afro.type());
\n cv::resize(afro, fineAfro, fineAfro.size(), cv::INTER_CUBIC);<\/p>\n\/\/\u30a2\u30d5\u30ed\u306e\u900f\u904ePNG \u3092\u900f\u904e\u3055\u305b\u308b\u305f\u3081\u306b\u3001\u30a2\u30eb\u30d5\u30a1\u30c1\u30e3\u30cd\u30eb\u306e\u51e6\u7406\u3092\u884c\u3046\u3002
\n cv::Mat maskMat;
\n int left = arrData->rectangle.x - (arrData->rectangle.w * 0.7);
\n int top = arrData->rectangle.y - (arrData->rectangle.h);
\n maskMat = fineAfro.clone();
\n setAlpha(maskMat); <\/p>\n\/\/\u52a0\u5de5\u3057\u305f\u30a2\u30d5\u30ed\u753b\u50cf\u3092\u91cd\u306d\u308b
\n cv::Mat colorImageROI(colorImage, cv::Rect(left, top, fineAfro.cols, fineAfro.rows));
\n fineAfro.copyTo(colorImageROI,maskMat);
\n }
\n }
\n }<\/p>\nvoid setAlpha(cv::Mat& srcMat){
\n int width = srcMat.cols;
\n int height = srcMat.rows;<\/p>\nfor(int i = 0; i < height;i++){\n for(int j = 0; j < width ;j++){\n cv::Vec4b &p = srcMat.at
\n if(p[3] == 255){
\n p[0] = 255 - p[0];
\n p[1] = 255 - p[1];
\n p[2] = 255 - p[2];
\n p[3] = 255 - p[3];
\n }else{
\n p[0] = 0;
\n p[1] = 0;
\n p[2] = 0;
\n p[3] = 0;
\n }
\n }
\n }
\n }<\/p>\n};<\/p>\n
\/\/\u30e1\u30a4\u30f3\u30e1\u30bd\u30c3\u30c9
\nint _tmain(int argc, _TCHAR* argv[])
\n{
\n try {
\n Pipeline pipeline;
\n pipeline.LoopFrames();
\n }
\n catch ( std::exception& ex ) {
\n std::cout << ex.what() << std::endl;\n }\n\n return 0;\n}\n[\/c]\n\nPerC \u3092\u5229\u7528\u3057\u305f\u958b\u767a\u3067\u306f\u30011. UtilPipeline\u3092\u62e1\u5f35\u3057\u305f\u30af\u30e9\u30b9\u3092\u4f5c\u6210\u3057\u30012. \u30ab\u30e1\u30e9\u306e\u60c5\u5831\u3092\u53d6\u5f97\u3059\u308b\u305f\u3073\u306b\u5b9f\u884c\u3055\u308c\u308bonNewFrame\u30e1\u30bd\u30c3\u30c9\u3092\u5b9f\u88c5 3. main\u30e1\u30bd\u30c3\u30c9\u3067Pipeline\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u3092\u751f\u6210\u3057LoopFrame()\u30e1\u30bd\u30c3\u30c9\u3092\u5b9f\u884c\u3059\u308b\u3053\u3068\u304c\u6700\u3082\u624b\u8efd\u3067\u3059\u306e\u3067\u3001\u4eca\u56de\u3082\u305d\u306e\u624b\u9806\u3067\u884c\u3044\u307e\u3057\u305f\u3002\n\n21-28\u884c\u76ee\u306eUtilPipeline\u3092\u62e1\u5f35\u3057\u305fPipeline\u30af\u30e9\u30b9\u306e\u30b3\u30f3\u30b9\u30c8\u30e9\u30af\u30bf\u5185\u3067\u8868\u60c5\u8a8d\u8b58\u6a5f\u80fd\u3092\u30aa\u30f3\u3057\u3001\u3042\u3089\u304b\u3058\u3081\u4f5c\u6210\u3057\u305f\u900f\u904ePNG\u306e\u30a2\u30d5\u30ed\u753b\u50cf\u8aad\u307f\u8fbc\u3093\u3067\u3044\u307e\u3059(EnableImage()\u306a\u3069\u4ed6\u306e\u30e1\u30bd\u30c3\u30c9\u3092\u5b9f\u884c\u3059\u308b\u3068\u306a\u305c\u304b\u52d5\u304b\u306a\u304f\u306a\u308a\u307e\u3059\u3002)\n\n\u6b21\u306bonNewFrame()\u30e1\u30bd\u30c3\u30c9\u3092\u5b9f\u88c5\u3057\u307e\u3059(30-52\u884c\u76ee)\u3002PerC \u3088\u308a\u30ab\u30e1\u30e9\u753b\u50cf\u304a\u3088\u3073\u8a8d\u8b58\u3057\u305f\u9854\u30fb\u8868\u60c5\u306e\u60c5\u5831\u3092\u53d6\u5f97\u3057\u307e\u3059(34-35\u884c\u76ee\uff09\u3002\n\n\u53d6\u5f97\u3057\u305f\u60c5\u5831\u3092\u8868\u793a\u3057\u307e\u3059\u3002\u53d6\u5f97\u3057\u305f\u753b\u50cf\u60c5\u5831\u306fgetColorData()\u30e1\u30bd\u30c3\u30c9\u3067\u89e3\u6790\u3057\u3001OpenCV\u306ecv::Mat \u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u3092\u4f5c\u6210\u3057\u3066\u3044\u307e\u3059(54-78\u884c\u76ee\uff09\u3002\u3053\u306e\u51e6\u7406\u306f\u307b\u307c\u3001\u8a18\u4e8b\u300cColor\u30ab\u30e1\u30e9\u3092\u4f7f\u3063\u3066\u9854\u3092\u691c\u51fa\u3059\u308b<\/a>\u300d\u306b\u8a18\u8f09\u306e\u901a\u308a\u3067\u3059\u304c\u30011\u70b9\u3002\u8868\u793a\u753b\u50cf\u306e\u5927\u304d\u3055\uff08Height \u3068Width) \u306fPerC\u304b\u3089\u53d6\u5f97\u3057\u305f\u60c5\u5831\u304b\u3089\u8a08\u7b97\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n\u305d\u3057\u3066\u3001\u3053\u306e\u30a2\u30d7\u30ea\u306e\u809d\u3067\u3042\u308b\u8868\u60c5\u8a8d\u8b58\u3067\u3059\u3002<\/p>\n
\u8a8d\u8b58\u3055\u308c\u305f\u5404\u9854\u306e\u8868\u60c5\u60c5\u5831\u3092\u53d6\u5f97\u3059\u308b\u306b\u306f\u3001QueryAllEmotionData()\u30e1\u30bd\u30c3\u30c9\u3092\u5b9f\u884c\u3057\u307e\u3059(90\u884c\u76ee)\u3002
\narrData\u306b\u5168\uff17\u3064\u8868\u60c5\u306e\u4fe1\u983c\u5ea6\uff08\u3053\u306e\u63a8\u8ad6\u304c\u3069\u308c\u3060\u3051\u78ba\u304b\u3089\u3057\u3044\u304b\uff09\u3068\u5f37\u5ea6\uff08\u305d\u306e\u611f\u60c5\u306e\u5f37\u3055\uff09\u304c\u53d6\u5f97\u3067\u304d\u305f\u306e\u3067\u3001\u305d\u3053\u304b\u3089\u6700\u3082\u4fe1\u983c\u5ea6\u304c\u9ad8\u304f\u5f37\u5ea6\u304c\u5f37\u3044\u8868\u60c5\u3092\u898b\u3064\u3051\u307e\u3059(93-110\u884c\u76ee)\u3002<\/p>\n\u4eca\u56de\u306e\u30a2\u30d7\u30ea\u3067\u306f\u559c\u3093\u3067\u3044\u308b\u3068\u304d\u306b\u30a2\u30d5\u30ed\u306b\u3059\u308b\u306e\u3067\u3001\u4fe1\u983c\u5ea6\u304c\u9ad8\u3044\u8868\u60c5\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u304c\u559c\u3073\u306e4\u3067\u3042\u308b\u5834\u5408\u3001\u304b\u3064\u5f37\u5ea6\u304c0.4 \u3092\u8d85\u3048\u308b\u5834\u5408\u306b\u3001\u30a2\u30d5\u30ed\u753b\u50cf\u3092\u3082\u3068\u306e\u30ab\u30e1\u30e9\u753b\u50cf\u306b\u91cd\u306d\u3066\u8868\u793a\u3057\u307e\u3059(103-117\u884c\u76ee\uff09\u3002\u9854\u306e\u4f4d\u7f6e\u3084\u5927\u304d\u3055\u306farrData->rectangle\u3067\u308f\u304b\u308b\u306e\u3067\u3001\u305d\u306e\u60c5\u5831\u304b\u3089\u30a2\u30d5\u30ed\u306e\u8868\u793a\u4f4d\u7f6e\u3084\u8868\u793a\u306e\u5927\u304d\u3055\u3092\u7b97\u51fa\u3057\u3066\u3044\u307e\u3059\u3002\u307e\u305f\u900f\u904ePNG\u306e\u8868\u793a\u65b9\u6cd5\u306b\u95a2\u3057\u3066\u306f\u8a18\u4e8b\u300cOpenCV 2.0 \u3067\u30de\u30b9\u30af\u51e6\u7406\u3057\u3066\u307f\u305f\u3002<\/a>\u300d\u3092\u53c2\u8003\u306b\u3057\u307e\u3057\u305f\u3002<\/p>\n
\u3067\u304d\u307e\u3057\u305f\u3002\u7d50\u679c\u3002\u3046\u304b\u306a\u3044\u6c17\u5206\u306e\u3068\u304d\u3067\u3082\u3002<\/p>\n
![\"happy_afro1\"](\"http:\/\/lab.synergy-marketing.co.jp\/__wp\/wp-content\/uploads\/2014\/07\/happy_afro1.png\")
<\/a><\/p>\n\u7b11\u3046\u3068\u30a2\u30d5\u30ed\uff01\uff01<\/p>\n
![\"happy_afro2\"](\"http:\/\/lab.synergy-marketing.co.jp\/__wp\/wp-content\/uploads\/2014\/07\/happy_afro2.png\")
<\/a><\/p>\n\u606f\u5b50\u3082\u30a2\u30d5\u30ed\uff01\uff01\uff01<\/p>\n
![\"happy_afro3\"](\"http:\/\/lab.synergy-marketing.co.jp\/__wp\/wp-content\/uploads\/2014\/07\/happy_afro3.png\")
<\/a><\/p>\n\u3067\u304d\u307e\u3057\u305f\u3002<\/p>\n
\u611f\u60f3\uff1aPerC \u306e\u8868\u60c5\u8a8d\u8b58\u6a5f\u80fd\u306f\u4f7f\u3048\u308b\u306e\u304b\uff1f<\/h3>\n
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\u5b9f\u306f\u3001\u3082\u3068\u3082\u3068\u306f\u606f\u5b50\u306e\u8981\u671b\u3067\u300c\u6012\u3063\u305f\u9854\u3092\u3057\u305f\u3089\u30b9\u30fc\u30d1\u30fc
\u30b5\u30a4\u30a2<\/del>\u30b5\u30a4\u30e4\u4eba\u306b\u306a\u308b\u300d\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u3092\u3064\u304f\u308d\u3046\u3068\u601d\u3063\u3066\u3044\u307e\u3057\u305f\u3002\u305f\u3060\u305d\u306e\u6642\u306f\u3044\u304f\u3089\u606f\u5b50\u306b\u300c\u6012\u308c\u30fc\u300d\u3068\u3044\u3063\u3066\u3082\u3001\u79c1\u3082\u30ab\u30e1\u30e9\u306e\u524d\u3067\u6012\u308a\u306e\u8868\u60c5\u3092\u4f5c\u308d\u3046\u3068\u3057\u3066\u3082\u3001PerC \u304c\u300c\u6012\u3063\u3066\u3044\u308b\u300d\u3068\u8a8d\u8b58\u3059\u308b\u8868\u60c5\u3092\u3064\u304f\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u305b\u3093\u3067\u3057\u305f\u3002\u305d\u3053\u3067\u4e00\u756a\u591a\u304f\u8a8d\u8b58\u3055\u308c\u305f\u300c\u559c\u3073\u300d\u306e\u8868\u60c5\u3092\u304d\u3063\u304b\u3051\u306b\u3059\u308b\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u958b\u767a\u306b\u5207\u308a\u66ff\u3048\u305f\u306e\u3067\u3059\u3002\u3068\u3053\u308d\u304c\u3001\u3053\u306e\u30a2\u30d7\u30ea\u958b\u767a\u4e2d\u306b\u4f55\u3092\u3084\u3063\u3066\u3082\u3046\u307e\u304f\u52d5\u304b\u305a\u304b\u306a\u308a\u30a4\u30e9\u30a4\u30e9\u3057\u3066\u3044\u305f\u6642\u9593\u304c\u3042\u3063\u305f\u306e\u3067\u3059\u304c\u3001\u305d\u306e\u3068\u304d\u8868\u60c5\u8a8d\u8b58\u30a2\u30d7\u30ea\u3092\u8d77\u52d5\u3057\u305f\u3089PerC \u304c\u300c\u6012\u308a\u300d\u306e\u8868\u60c5\u3092\u3057\u3066\u3044\u308b\u3068\u3044\u3046\u3067\u306f\u3042\u308a\u307e\u305b\u3093\u304b\u3002\u3002\u8a8d\u8b58\u7d50\u679c\u306f\u7d50\u69cb\u4fe1\u983c\u3067\u304d\u308b\u306e\u3067\u306f\u306a\u3044\u304b\u3001\u3068\u601d\u3063\u305f\u77ac\u9593\u3067\u3059\u3002<\/p>\n\u4eca\u5e74\u306f\u3001\u4ed6\u306b\u3082\u30a6\u30a7\u30a2\u30e9\u30d6\u30eb\u6a5f\u5668\u306a\u3069\u3082\u6570\u591a\u304f\u767a\u58f2\u3055\u308c\u3066\u3044\u307e\u3059\u3002\u5f15\u304d\u7d9a\u304d\u3053\u306e\u5206\u91ce\u3082\u6ce8\u8996\u3057\u3066\u3044\u304d\u305f\u3044\u3068\u601d\u3044\u307e\u3059\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"
\u3053\u3093\u306b\u3061\u306f\u3001\u99ac\u5834\u3067\u3059\u3002<\/p>\n
\u6700\u8fd1\u5f0a\u793eR&D\u3067\u306f\u8133\u306e\u6d3b\u52d5\u60c5\u5831\u3092\u30b3\u30df\u30e5\u30cb\u30b1\u30fc\u30b7\u30e7\u30f3\u306b\u6d3b\u304b\u3059\u7814\u7a76\u304c\u30db\u30c3\u30c8\u3067\u3059\u304c\u3001\u4ed6\u306b\u3082\u89b3\u6e2c\u3067\u304d\u308b\u751f\u4f53\u53cd\u5fdc\u306f\u3042\u308a\u307e\u3059\u3002\u4f8b\u3048\u3070\u3001\u58f0\u3084\u8868\u60c5\u3001\u5fc3\u62cd\u3084\u8eab\u632f\u308a\u624b\u632f\u308a\u306a\u3069\u3067\u3059\u3002
\u7d9a\u304d\u3092\u8aad\u3080...<\/a><\/p>\n","protected":false},"author":23,"featured_media":9427,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[254,18],"tags":[],"_links":{"self":[{"href":"https:\/\/www.techscore.com\/blog\/wp-json\/wp\/v2\/posts\/13887"}],"collection":[{"href":"https:\/\/www.techscore.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.techscore.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.techscore.com\/blog\/wp-json\/wp\/v2\/users\/23"}],"replies":[{"embeddable":true,"href":"https:\/\/www.techscore.com\/blog\/wp-json\/wp\/v2\/comments?post=13887"}],"version-history":[{"count":5,"href":"https:\/\/www.techscore.com\/blog\/wp-json\/wp\/v2\/posts\/13887\/revisions"}],"predecessor-version":[{"id":13988,"href":"https:\/\/www.techscore.com\/blog\/wp-json\/wp\/v2\/posts\/13887\/revisions\/13988"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.techscore.com\/blog\/wp-json\/wp\/v2\/media\/9427"}],"wp:attachment":[{"href":"https:\/\/www.techscore.com\/blog\/wp-json\/wp\/v2\/media?parent=13887"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.techscore.com\/blog\/wp-json\/wp\/v2\/categories?post=13887"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.techscore.com\/blog\/wp-json\/wp\/v2\/tags?post=13887"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}