FindChessboardCorners cannot detect chessboard on very large resoluction images (Bug #2831)

Just here to clarify. I think the algorithm works on large image resolution, but it fails when the chessboard occupy larger proportion of the image.
For example, when I use a 50mm fixed lens on the same camera position, FindChessboardCorners never fails. After I change it to 100mm fixed lens, the function starts to stop detecting the pattern. I think it relates to the proportion or the focal length.

Obviously, there's some hard coded stuff in FindChessboardCorners, now I'm able to use a sharpen filter beforehand, then it starts working.

For a very high resolution image, I have to use a gaussian filter size more than 55.

@ if (viewGray.cols > 1500) {
Mat temp ;
GaussianBlur(viewGray,temp, Size(0,0), 55) ;
addWeighted(viewGray, 1.5, temp, -0.5,0,viewGray) ; //hardcoded weight, to be tested.
imwrite("test"+ imageList[k][i], viewGray) ;

}

found = findChessboardCorners( viewGray, boardSize, ptvec,
                                CV_CALIB_CB_ADAPTIVE_THRESH + CV_CALIB_CB_FILTER_QUADS + CV_CALIB_CB_NORMALIZE_IMAGE + CV_CALIB_CB_FAST_CHECK);@