[iOS]CIDetector之CIDetectorTypeFace人脸识别

- (void)viewDidLoad
{
    [super viewDidLoad];
    // Do any additional setup after loading the view, typically from a nib.

    UIImageView *imageView = [[UIImageView alloc] initWithFrame:self.view.bounds];
    imageView.image = [UIImage imageNamed:@"timg.jpeg"];
    [self.view addSubview:imageView];

    CGFloat width = imageView.image.size.width;
    CGFloat height = imageView.image.size.height;

    CGFloat sWidth = imageView.bounds.size.width;
    CGFloat sHeight = imageView.bounds.size.height;

    CGFloat x = width/sWidth;
    CGFloat y = height/sHeight;

    // 根据image修改imageview的frame
    if (x > y)
    {
        imageView.frame = CGRectMake(, (sHeight-height/x)/, sWidth, height/x);
    }else{
        imageView.frame = CGRectMake((sWidth-width/y)/, , width/y, sHeight);
    }

    // 压缩image
    UIGraphicsBeginImageContext(CGSizeMake(imageView.bounds.size.width , imageView.bounds.size.height));
    [imageView.image drawInRect:CGRectMake(, , imageView.bounds.size.width, imageView.bounds.size.height)];
    UIImage *scaledImage = UIGraphicsGetImageFromCurrentImageContext();
    UIGraphicsEndImageContext();

    imageView.image = scaledImage;

    //识别
    dispatch_async(dispatch_get_global_queue(, ), ^{
        CIImage *cImage = [CIImage imageWithCGImage:imageView.image.CGImage];
        // 设置识别模式
        NSDictionary  *opts = [NSDictionary dictionaryWithObject:CIDetectorAccuracyHigh
                                                          forKey:CIDetectorAccuracy];
        /* Lower accuracy, higher performance */
        //CORE_IMAGE_EXPORT NSString* const CIDetectorAccuracyLow NS_AVAILABLE(10_7, 5_0);

        /* Lower performance, higher accuracy */
        //CORE_IMAGE_EXPORT NSString* const CIDetectorAccuracyHigh NS_AVAILABLE(10_7, 5_0);

        CIDetector *detector = [CIDetector detectorOfType:CIDetectorTypeFace
                                                  context:nil
                                                  options:opts];

        NSArray *features = [detector featuresInImage:cImage];

        if ([features count] == )
        {
            dispatch_async(dispatch_get_main_queue(), ^{
                NSLog(@"检测失败");
            });
            return ;
        }

        for (CIFaceFeature *feature in features)
        {
            // 是否微笑
            BOOL smile = feature.hasSmile;

            NSLog(smile ? @"微笑" : @"没微笑");

            // 眼睛是否睁开
            BOOL leftEyeClosed = feature.leftEyeClosed;
            BOOL rightEyeClosed = feature.rightEyeClosed;

            NSLog(leftEyeClosed ? @"左眼没睁开" : @"左眼睁开");
            NSLog(rightEyeClosed ? @"右眼没睁开" : @"右眼睁开");

            // 获取脸部frame
            CGRect rect = feature.bounds;
            rect.origin.y = imageView.bounds.size.height - rect.size.height - rect.origin.y;// Y轴旋转180度
            faceRect = rect;
            NSLog(@"脸 %@",NSStringFromCGRect(rect));

            // 左眼
            if (feature.hasLeftEyePosition)
            {
                CGPoint eye = feature.leftEyePosition;
                eye.y = imageView.bounds.size.height - eye.y;// Y轴旋转180度
                NSLog(@"左眼 %@",NSStringFromCGPoint(eye));
            }

            // 右眼
            if (feature.hasRightEyePosition)
            {
                CGPoint eye = feature.rightEyePosition;
                eye.y = imageView.bounds.size.height - eye.y;// Y轴旋转180度
                NSLog(@"右眼 %@",NSStringFromCGPoint(eye));
            }

            // 嘴
            if (feature.hasMouthPosition)
            {
                CGPoint mouth = feature.mouthPosition;
                mouth.y = imageView.bounds.size.height - mouth.y;// Y轴旋转180度
                NSLog(@"嘴 %@",NSStringFromCGPoint(mouth));
            }
        }

        dispatch_async(dispatch_get_main_queue(), ^{
            NSLog(@"检测完成");
            UIView *view = [[UIView alloc] initWithFrame:faceRect];
            view.backgroundColor = [UIColor blueColor];
            view.alpha = 0.3;
            [imageView addSubview:view];
        });
    });
}

关于图片压缩：imageview的大小与image的大小不一致，识别的时候，是按照image的大小进行计算，通过重绘，使imageview与image保持一致。

关于坐标Y轴翻转：屏幕的坐标原点即(0,0)点在左上角，识别图片的坐标原点在左下角。

运行结果

控制台输出结果