| CPC G06T 3/047 (2024.01) [G06T 3/12 (2024.01)] | 11 Claims |

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1. A method for reducing a distortion of a fisheye image captured by a fisheye lens, wherein the method is conducted by a processor to perform the following steps:
defining a real camera coordinate system O-XYZ, wherein a first virtual sphere centered at O with a radius of 1 is defined;
defining a virtual camera coordinate system O2-X2Y2Z2, wherein second virtual sphere centered at O2 with a radius of n is defined, and wherein the first virtual sphere is internally tangent to the second virtual sphere, and n>1;
transforming a fisheye image to three-dimensional (3D) unit vectors in the real camera coordinate system, transforming the 3D unit vectors between the real camera coordinate system and the virtual camera coordinate system according to a relative position between two spheres, and conducting a conventional projection of the 3D unit vectors in the virtual camera coordinate system to generate the transformed image; and
reducing a line curvature of the transformed image to a certain degree by adjusting a horizontal field of view (HFOV) angle or a vertical field of view (VFOV) angle of the virtual camera,
wherein a coordinate transformation of the fisheye image comprises a forward transformation and a reverse transformation, and wherein:
the forward transformation comprises: acquiring coordinates (x0, y0) of the fisheye image; deriving a 3D unit vector (i0, j0, k0) in the real camera coordinate system based on a camera model; deriving a 3D unit vector (i1, j1, k1) in the virtual camera coordinate system based on a coordinate transformation between the first and second virtual spheres; and deriving coordinates (x1, y1) in the transformed image by a conventional projection; and
the reverse transformation comprises: acquiring the coordinates (x1, y1) in the transformed image; deriving the 3D unit vector (i1, j1, k1) in the virtual camera coordinate system based on a reverse conventional projection; deriving the 3D unit vector (i0, j0, k0) in the real camera coordinate system based on the coordinate transformation between the first and second virtual spheres; and deriving the coordinates (x0, y0) in the fisheye image using the camera model.
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