openalea.phenomenal.calibration.transformations.clip_matrix#
- openalea.phenomenal.calibration.transformations.clip_matrix(left, right, bottom, top, near, far, perspective=False)[source]#
Return matrix to obtain normalized device coordinates from frustum.
The frustum bounds are axis-aligned along x (left, right), y (bottom, top) and z (near, far).
Normalized device coordinates are in range [-1, 1] if coordinates are inside the frustum.
If perspective is True the frustum is a truncated pyramid with the perspective point at origin and direction along z axis, otherwise an orthographic canonical view volume (a box).
Homogeneous coordinates transformed by the perspective clip matrix need to be dehomogenized (divided by w coordinate).
>>> frustum = numpy.random.rand(6) >>> frustum[1] += frustum[0] >>> frustum[3] += frustum[2] >>> frustum[5] += frustum[4] >>> M = clip_matrix(perspective=False, *frustum) >>> numpy.dot(M, [frustum[0], frustum[2], frustum[4], 1]) array([-1., -1., -1., 1.]) >>> numpy.dot(M, [frustum[1], frustum[3], frustum[5], 1]) array([ 1., 1., 1., 1.]) >>> M = clip_matrix(perspective=True, *frustum) >>> v = numpy.dot(M, [frustum[0], frustum[2], frustum[4], 1]) >>> v / v[3] array([-1., -1., -1., 1.]) >>> v = numpy.dot(M, [frustum[1], frustum[3], frustum[4], 1]) >>> v / v[3] array([ 1., 1., -1., 1.])