chessboard/checkerboard corner detection
Hi there,
I'm trying to figure out a way to detect the corners of a checkerboard/chessboard pattern in an image. The idea is to use the information for calibrating a camera-beamer setup: I'm planning on projecting a checkerboard pattern onto a wall and "looking at" that pattern though a cam fixed to the projector. After detecting certain points in the pattern (the corners) the projection could automatically be "aligned" with the camera image and would hopefully allow a quick way to map a projection onto objects within the cameras field of view (and within the projection area of course:)) .
OpenCV must offer ways and means of detecting the corners as can be seen in the camera-calibration tools the library offers. I could not find a direct solution in Jean-Marc Pelletier great collection of cv.jit objects, though. Maybe it would be possible by detecting lines in an image and finding the intersections or something like that…
Any Ideas?
Thanks!
Tom
blob tracking and simply having four points of light, one in each corner? That should give you the rectangle.
Then I hear that there will be a "jit.gl.cornerpin" or similar coming in the next update.