Surround view system
Aspects of the method, apparatus, non-transitory computer readable medium, and system include estimating extrinsic camera parameters of a plurality of cameras based on detection of corners in a camera calibration arrangement by projecting an image of the detected corners onto an image plane of at least one of the plurality of cameras. The aspects further include incrementally tuning a location estimate for the detected corners based on pixels of the projected image, and adjusting the extrinsic camera parameters of the at least one of the plurality of cameras based on the tuned location estimate. The aspects further include generating a virtual image based on the pixels of the projected image mapped to a virtual image plane.
1. A method of generating a virtual camera view, comprising:
receiving a plurality of adjoining images, wherein the plurality of adjoining images include pixels;
detecting one or more objects in each of the plurality of adjoining images;
receiving depth information for the pixels of the one or more detected objects;
analyzing a mismatch between each of the adjoining images;
prioritizing the image having a closer detected object based on the depth information;
forming a virtual image by merging the adjoining images together, wherein pixels of the prioritized image are used in an overlap region of the adjoining images; and
identifying a seam location between the adjoining images according to a path of minimal depth discrepancy between the adjoining views.
2. The method of claim 1 , further comprising:
assigning a weight to the pixels along the seam; and
blending the pixels along the seam based on the assigned weights.
3. The method of claim 2 , wherein:
the assigned weight is based on a distance of the pixel from an optical center of a camera obtaining the image.
4. The method of claim 3 , further comprising:
adjusting a position of the seam based on depth information for the pixels along the seam.
5. The method of claim 4 , further comprising:
applying color harmonization to the adjoining images along the seam.
6. A virtual image generation system, comprising:
a plurality of cameras positioned relative to an origin; and
one or more processors that receive a communication signal from the plurality of cameras,
wherein the virtual image generation system is configured to generate a virtual image from a plurality of adjoining images received from the plurality of cameras;
wherein each of the adjoining images include pixels, and wherein the virtual image is formed based on a mismatch between each of the adjoining images and prioritizing the adjoining image that has a closer object based on depth information, and merging the adjoining images together, wherein the pixels of the prioritized image are used in an overlap region of the adjoining images.
7. The virtual image generation system of claim 6 , wherein:
the virtual image generation system is further configured to identify a seam location between the adjoining images according to a path of minimal depth discrepancy between the adjoining images based on the depth information, wherein the adjoining images are merged along the seam.
8. The virtual image generation system of claim 7 , wherein:
the virtual image generation system is further configured to use pixels of the prioritized image in an overlap region of the adjoining images.
9. The virtual image generation system of claim 6 , further comprising:
a plurality of LiDAR sensors, wherein the virtual image generation system is further configured to receive a communication signal from each of the plurality of LiDAR sensors, and wherein the communication signal includes the depth information.
10. The virtual image generation system of claim 6 , further comprising:
a memory coupled to the one or more processors, wherein the depth information is stored in the memory with an associated image of the plurality of adjoining images.
11. The virtual image generation system of claim 10 , further comprising:
the virtual image generation system is further configured to utilize a three-dimensional model.