c++ - 情绪检测数据集

Question

我正在使用 opencv 库编写代码，该库跟踪用户的面部和面部特征。我已经设法通过网络摄像头实时检测面部和眼睛、嘴唇等特征。我现在想从检测到的特征中提取情绪。我想知道是否有任何可用的数据集可用于比较情绪以及如何完成。

这是人脸检测的代码

    CvRect detectFaceInImage(const IplImage *inputImg, const CvHaarClassifierCascade* cascade )
{
    const CvSize minFeatureSize = cvSize(20, 20);
    const int flags = CV_HAAR_FIND_BIGGEST_OBJECT | CV_HAAR_DO_ROUGH_SEARCH;    // Only search for 1 face.
    const float search_scale_factor = 1.1f;
    IplImage *detectImg;
    IplImage *greyImg = 0;
    CvMemStorage* storage;
    CvRect rc;
    double t;
    CvSeq* rects;
    int i;

    storage = cvCreateMemStorage(0);
    cvClearMemStorage( storage );

    // If the image is color, use a greyscale copy of the image.
    detectImg = (IplImage*)inputImg;    // Assume the input image is to be used.
    if (inputImg->nChannels > 1) 
    {
        greyImg = cvCreateImage(cvSize(inputImg->width, inputImg->height), IPL_DEPTH_8U, 1 );
        cvCvtColor( inputImg, greyImg, CV_BGR2GRAY );
        detectImg = greyImg;    // Use the greyscale version as the input.
    }

    // Detect all the faces.
    t = (double)cvGetTickCount();
    rects = cvHaarDetectObjects( detectImg, (CvHaarClassifierCascade*)cascade, storage,
                search_scale_factor, 3, flags, minFeatureSize );
    t = (double)cvGetTickCount() - t;
    printf("[Face Detection took %d ms and found %d objects]\n", cvRound( t/((double)cvGetTickFrequency()*1000.0) ), rects->total );

    // Get the first detected face (the biggest).
    if (rects->total > 0) {
        rc = *(CvRect*)cvGetSeqElem( rects, 0 );
    }
    else
        rc = cvRect(-1,-1,-1,-1);   // Couldn't find the face.

    //cvReleaseHaarClassifierCascade( &cascade );
    //cvReleaseImage( &detectImg );
    if (greyImg)
        cvReleaseImage( &greyImg );
    cvReleaseMemStorage( &storage );

    return rc;  // Return the biggest face found, or (-1,-1,-1,-1).
}

Answer 1

我正在使用卡罗林斯卡定向情绪面孔 (KDEF) 照片进行教育研究项目。有关数据集的信息，请访问 http://www.emotionlab.se/resources/kdef。 .

请注意，您可能需要裁剪、调整大小、居中、拉直和规范化图像才能将它们用于 OpenCV。一旦准备好，图像就可以很好地与所有 OpenCV2 FaceRecognizer 类函数一起使用。

至于如何进行面部表情识别:不存在标准方法。首先阅读 FaceRecognizer 文档并完成教程。物有所值:我发现使用局部二进制模式直方图可以产生最准确的结果。