Created
March 9, 2019 16:05
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gnomonic transformation
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import numpy as np | |
from PIL import Image | |
from skimage import transform | |
def gnomonic2equirectangular(ishape, oshape, fov): | |
def inner(xy): | |
ones = np.expand_dims(np.ones(xy.shape[0]), 0).transpose() | |
v = np.concatenate((xy, ones), axis=1) | |
v /= np.linalg.norm(v, axis=1, keepdims=True) | |
xx = v[:, 0] | |
yy = v[:, 1] | |
zz = v[:, 2] | |
lat = np.arcsin(zz) | |
lon = np.arctan2(xx, yy) | |
return np.c_[lon, lat] | |
def outer(xy): | |
osa = np.flip(np.array(oshape, np.float) - 1, 0) | |
isa = np.flip(np.array(ishape, np.float) - 1, 0) | |
o = inner((2 * xy / osa - 1) * np.tan(fov / 2)) | |
return (np.divide(o, np.array([2 * np.pi, np.pi])) + .5) * isa | |
return outer | |
def rect2gnomonic(img, fov=np.pi / 2): | |
ishape = img.shape[:2] | |
oshape = np.full(2, np.ceil(np.tan(fov / 2) / np.sin(2 * np.pi / ishape[1]))) | |
return transform.warp(img.astype(np.float), inverse_map=gnomonic2equirectangular(ishape, oshape, fov), output_shape=oshape) |
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