Method and a system for calibrating an image capture device
US-9105080-B2 · Aug 11, 2015 · US
US12243184B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-12243184-B2 |
| Application number | US-202318340611-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jun 23, 2023 |
| Priority date | May 20, 2015 |
| Publication date | Mar 4, 2025 |
| Grant date | Mar 4, 2025 |
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In a video capture system, a virtual lens is simulated when applying a crop or zoom effect to an input video. An input video frame is received from the input video that has a first field of view and an input lens distortion. A selection of a sub-frame representing a portion of the input video frame is obtained that has a second field of view smaller than the first field of view. The sub-frame is processed to remap the input lens distortion to a desired lens distortion in the sub-frame. The processed sub-frame is output.
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What is claimed is: 1. A system for simulating image distortion of a virtual lens in a video, the system comprising: one or more processors; and a non-transitory computer-readable storage medium storing instructions that when executed cause the one or more processors to perform steps including: accessing input images, the input images including fields of view of a scene, the input images depicting the scene with an input lens distortion centered in the fields of view; selecting reduced fields of view of the scene smaller than the fields of view of the input images, the reduced fields of view including lens distortion effects as a function of the input lens distortion centered in the fields of view of the input images, positions of the reduced fields of view within the fields of view of the input images, and size of the reduced fields of view; and generating video frames of an output video based on the lens distortion effects in the reduced fields of view and a desired lens distortion, the video frames of the output video including portions of the input images within the reduced fields of view, wherein generation of the video frames includes remapping of the input lens distortion centered in the fields of view of the input images to the desired lens distortion centered in the reduced fields of view to transform the lens distortion effects present in the reduced fields of view to the desired lens distortion, wherein the output video has consistent frame-to-frame lens characteristics. 2. The system of claim 1 , wherein the desired lens distortion includes rectilinear distortion. 3. The system of claim 1 , wherein the reduced fields of view are selected based on metadata associated with the input images. 4. The system of claim 3 , wherein the metadata indicates motion or orientation of a camera that captured the input images. 5. The system of claim 4 , wherein the metadata comprises velocity vectors and/or acceleration vectors representative of the motion of the camera that captured the input images. 6. The system of claim 1 , wherein the reduced fields of view are selected based on tracking of a target within the input images. 7. The system of claim 1 , wherein the reduced fields of view are selected based on facial recognition, object recognition, or motion tracking. 8. The system of claim 1 , wherein the reduced fields of view are selected based on a location of interest. 9. The system of claim 1 , wherein the reduced fields of view are selected during capture of the input images. 10. A method for simulating image distortion of a virtual lens in a video, the method comprising: accessing input images, the input images including fields of view of a scene, the input images depicting the scene with an input lens distortion centered in the fields of view; selecting reduced fields of view of the scene smaller than the fields of view of the input images, the reduced fields of view including lens distortion effects as a function of the input lens distortion centered in the fields of view of the input images, positions of the reduced fields of view within the fields of view of the input images, and size of the reduced fields of view; and generating video frames of an output video based on the lens distortion effects in the reduced fields of view and a desired lens distortion, the video frames of the output video including portions of the input images within the reduced fields of view, wherein generation of the video frames includes remapping of the input lens distortion centered in the fields of view of the input images to the desired lens distortion centered in the reduced fields of view to transform the lens distortion effects present in the reduced fields of view to the desired lens distortion, wherein the output video has consistent frame-to-frame lens characteristics. 11. The method of claim 10 , wherein the desired lens distortion includes rectilinear distortion. 12. The method of claim 10 , wherein the reduced fields of view are selected based on metadata associated with the input images. 13. The method of claim 12 , wherein the metadata indicates motion or orientation of a camera that captured the input images. 14. The method of claim 13 , wherein the metadata comprises velocity vectors and/or acceleration vectors representative of the motion of the camera that captured the input images. 15. The method of claim 10 , wherein the reduced fields of view are selected based on tracking of a target within the input images. 16. The method of claim 10 , wherein the reduced fields of view are selected based on facial recognition, object recognition, or motion tracking. 17. The method of claim 10 , wherein the reduced fields of view are selected based on a location of interest. 18. The method of claim 10 , wherein the reduced fields of view are selected during capture of the input images. 19. A system for simulating image distortion of a virtual lens in a video, the system comprising: one or more processors; and a non-transitory computer-readable storage medium storing instructions that when executed cause the one or more processors to perform steps including: accessing input images, the input images including fields of view of a scene, the input images depicting the scene with an input lens distortion centered in the fields of view; selecting reduced fields of view of the scene smaller than the fields of view of the input images, the reduced fields of view including lens distortion effects as a function of the input lens distortion centered in the fields of view of the input images, positions of the reduced fields of view within the fields of view of the input images, and size of the reduced fields of view, wherein the reduced fields of view are selected based on motion or orientation of a camera that captured the input images, based on tracking of a target within the input images, or based on a location of interest; and generating video frames of an output video based on the lens distortion effects in the reduced fields of view and a desired lens distortion, the video frames of the output video including portions of the input images within the reduced fields of view, wherein generation of the video frames includes remapping of the input lens distortion centered in the fields of view of the input images to the desired lens distortion centered in the reduced fields of view to transform the lens distortion effects present in the reduced fields of view to the desired lens distortion, wherein the output video has consistent frame-to-frame lens characteristics. 20. The system of claim 19 , wherein the reduced fields of view are selected further based on facial recognition, object recognition, or motion tracking.
Cropping · CPC title
Dividing image into blocks, subimages or windows · CPC title
Video; Image sequence · CPC title
Still image; Photographic image · CPC title
Scaling of whole images or parts thereof, e.g. expanding or contracting · CPC title
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