vision

I am working on a project where there is board and camera on top of it. The objective is to identify students who are looking at the board and also identify the location of their sight (on the board). Currently, I am planning to approach the challenge in following parts: Identify Students faces Identify ROI of their both eye from the face detected Identify the location of their eye pupil/iris center and head pose Decide whether the person is looking at the board or not? If yes, which area of the board the student is looking at? So far, i was able to do the following things: Identify the face

I have been testing the new Face API realesed for android, and noticed even with "ACCURATE_MODE" enabled, it doesn't detect faces that old FaceDetector API used to detect, Also i would like to know the effect of Bitmap coding "RGB_565" vs "ARGB_888" in producing the results. Update: The issue was that the face detector is set to only detect faces that are at least 10% by default (as a performance optimization). The new Google Play Services 8.4 release supports setting this minimum face size lower, enabling smaller faces to be detected. See the setMinFaceSize method here: https://developers

With a camera inside a cylinder I capture a image. I want to transform that image into a plane 2d. The image inside the cylinder have a lot of dots which forms a grid. What I tried to do was estimating the transformation. With blob analysis I can detect the center of each point and obtain the coordinates in pixels. I save this in matrix called ImCilynder. After that i create a matrix with coordinates of that points in the plane with the name Im2d. I calculate the transformation (H) solving the equation: Imcilynder * H= Im2d; H= matrix [9x1] H=pinv(Imcilynder) * Im2d But, when i'm doing the

It's difficult to tell what is being asked here. This question is ambiguous, vague, incomplete, overly broad, or rhetorical and cannot be reasonably answered in its current form. For help clarifying this question so that it can be reopened, visit the help center . How do I implement a bilateral filter, given a gaussian filter? A simple bilateral filter can be defined as Inew (x,y) = Summation(j=y-n/2; j<=y+n/2)Summation(i=x-m/2; j<=x+m/2)w(i,j,x,y)I(i,j) where common low-pass filter, such as a Gaussian filter, has a weight w(i,j,x,y) based on the distance from the center of the kernel (x,y) to

As it currently stands, this question is not a good fit for our Q&A format. We expect answers to be supported by facts, references, or expertise, but this question will likely solicit debate, arguments, polling, or extended discussion. If you feel that this question can be improved and possibly reopened, visit the help center for guidance. Is there any industrial computer vision camera that comes with a Python interface, or that has a well developed third-party solution? I have been doing some work using webcams, which are easily accessible through for example OpenCV. However, now I need a

Say I plan to use OpenCV for 3D reconstruction using a stereo approach...and I do not have any special stereo camera but only webcams. 1.)How do I build a cheap stereo setup using a set of web cams? 2.)Is it possible to snap two images using web cams and convert them to stereo using openCV API? I will use the stereo algorithm from the link below Stereo vision with OpenCV Using this approach I want to create a detailed mapping of an indoor environment. (I would not like to use any projects like Insight3D which cannot be used for commercial purposes without distributing the source code) You can

We've made a WPF application with a traditional UI (common controls like tabs, buttons, labels, textboxes, and so on). We need to add a "night vision" mode, which would make it look like Stellarium's night vision mode, so that it can be comfortably used in places with few or just no light at all. As far as I've seen, we only have two options: A technique called "shading" (I don't know how this could be implemented in WPF). The brute-force way: defining control's style templates. As you know, this would imply a tremendous work, since we need to redefine every single property for each control