Can the eye tracking image also be used in OpenCV on Android?

asked 27 Jul '15, 20:15

phyatt's gravatar image

phyatt ♦♦
accept rate: 8%

It should work. We don't have an Android + OpenCV posted yet, but it should be pretty straight forward.

We do have a very similar example for Windows with OpenCV... a lot of the code for OpenCV will be similar.

The attached files are found in the QuickStart project in the Quick Link2 SDK download on the support page.


Below is how it is accessed on Windows (this is from DisplayVideo.cpp in the QuickStart example):

// Create local members.
QLFrameData frame;
QLError qlerror = QL_ERROR_OK;

// Get a frame from the device. If there was an 
// error getting the frame then return an error.
if((qlerror = QLDevice_GetFrame(deviceId, 5000, &frame)) != QL_ERROR_OK)
    printf_s("Error getting frame from device. Error = %d\n", qlerror);  
    return DEC_ERROR;

// Create some local pointers to OpenCV image objects.
IplImage* ql2Image;
IplImage* displayImage;

// Create the OpenCV image objects and initialize the local pointers. 
// The image from Quick Link 2 is 8 bit grey scale and the pixel data 
// buffer is allocated in Quick Link 2 so only create an image header. 
// The image that will be displayed has other colored things that are 
// drawn on it so and its buffer is not created elsewhere so allocate 
// three bytes per pixel.
ql2Image = cvCreateImageHeader(cvSize(frame.ImageData.Width, frame.ImageData.Height), 8, 1);
displayImage = cvCreateImage(cvSize(frame.ImageData.Width, frame.ImageData.Height), 8, 3);

// Create an OpenCV window for displaying the image
std::string windowName = "Quick Link 2 Image";
cvNamedWindow(windowName.c_str(), 1);

// Create a some local members that will be used for 
// displaying text information on the display image.
CvFont font;
cvInitFont(&font,CV_FONT_HERSHEY_SIMPLEX|CV_FONT_ITALIC, 1, 1, 0, 1);
const int textBufferSize = 256;
char textBuffer[textBufferSize];
int fontSpacing = 30;
int fontSpacingMultiplier = 1;

// Create some other variables
bool success = true;
int waitKeyReturnValue = 0;

// Display the image and then get a new image. If a new image was retrieved 
// successfully then loop through again until an image was not successfully 
// retrieved or until the user preses esc.
    // Reset the font spacing multiplier. The font spacing multiplier 
    // determines the line on which the text will be displayed. 
    fontSpacingMultiplier = 1;

    // Assign the pixel data buffer pointer in the OpenCV image to the 
    // pixel data buffer in the Quick Link 2 frame data.
    ql2Image->imageData = (char*)frame.ImageData.PixelData;

    // Copy the grey scale image to the color image buffer so it can be displayed.
    if(ql2Image->imageData != 0)
        cvCvtColor(ql2Image, displayImage, CV_GRAY2RGB);

    // Place some instructions on the image for the user.
    sprintf_s(textBuffer, textBufferSize, "Press ENTER to continue");
    cvPutText(displayImage, textBuffer, cvPoint(0, fontSpacing * fontSpacingMultiplier++), &font, CV_RGB(255,0,0));
    sprintf_s(textBuffer, textBufferSize, "Press ESC to exit");
    cvPutText(displayImage, textBuffer, cvPoint(0, fontSpacing * fontSpacingMultiplier++), &font, CV_RGB(255,0,0));

    // If the left was was found then mark the pupil and the glints;
        cvPoint((int)frame.LeftEye.Pupil.x, (int)frame.LeftEye.Pupil.y), 
        10, CV_RGB(0,255,0), 1);

        cvPoint((int)frame.LeftEye.Glint0.x, (int)frame.LeftEye.Glint0.y), 
        5, CV_RGB(0,255,0), 1);

        cvPoint((int)frame.LeftEye.Glint1.x, (int)frame.LeftEye.Glint1.y), 
        5, CV_RGB(0,255,0), 1);

    // If the right was was found then mark the pupil and the glints;
        cvPoint((int)frame.RightEye.Pupil.x, (int)frame.RightEye.Pupil.y), 
        10, CV_RGB(255,0,0), 1);

        cvPoint((int)frame.RightEye.Glint0.x, (int)frame.RightEye.Glint0.y), 
        5, CV_RGB(255,0,0), 1);

        cvPoint((int)frame.RightEye.Glint1.x, (int)frame.RightEye.Glint1.y), 
        5, CV_RGB(255,0,0), 1);

    // Display the image in the OpenCV window.
    cvShowImage(windowName.c_str(), displayImage);
    success = ((qlerror = QLDevice_GetFrame(deviceId, 10000, &(frame))) == QL_ERROR_OK);

    // Check for user input.
    waitKeyReturnValue = cvWaitKey(1);

// if the user pressed escape or enter or if the image was not retrieved 
// from the device successfully then quit the loop.
} while((waitKeyReturnValue != cvWaitKeyEnter)  && (waitKeyReturnValue != cvWaitKeyEsc) && success);

// Destroy the OpenCV window and memory.

In Android we currently return the ByteArray for the image and then we have an example of pushing it to a Surface. The LiveViewFragment shows off how to do this.


Below is some simplified code of just accessing the ByteArray and pushing it to a Bitmap object.

SurfaceHolder surfaceHolder;

surfaceHolder = getHolder();

Bitmap rawGrayImage = null;
QLFrameData frame = null;
frame = qlDevice.getFrame(1000);

rawGrayImage = Bitmap.createBitmap(frame.imageData.width,
        frame.imageData.height, Bitmap.Config.ALPHA_8);



Canvas canvas = surfaceHolder.lockCanvas();

canvas.drawBitmap(rawGrayImage, m_drawMatrix, paint);


The remaining work to get this in OpenCV for Android is making sure that you can get that ByteArray to the OpenCV implementation/structures for Android.

It probably would use the same or similar classes like are used in the QuickStart example.


answered 27 Jul '15, 20:17

phyatt's gravatar image

phyatt ♦♦
accept rate: 8%

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Asked: 27 Jul '15, 20:15

Seen: 2,471 times

Last updated: 27 Jul '15, 20:17

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