The digital 3D/360° camera system is an omnidirectional stereoscopic device for capturing image data that may be used to create a 3-dimensional model for presenting a 3D image, a 3D movie, or 3D animation. The device uses multiple digital cameras, arranged with overlapping fields of view, to capture
The digital 3D/360° camera system is an omnidirectional stereoscopic device for capturing image data that may be used to create a 3-dimensional model for presenting a 3D image, a 3D movie, or 3D animation. The device uses multiple digital cameras, arranged with overlapping fields of view, to capture image data covering an entire 360° scene. The data collected by one, or several, digital 3D/360° camera systems can be used to create a 3D model of a 360° scene by using triangulation of the image data within the overlapping fields of view.
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1. A method for calibrating a camera system having a plurality of cameras on a housing, comprising: aligning the housing to a coordinate system;calibrating each camera of the plurality of cameras with respect to the coordinate system, wherein calibrating includes: exposing each pixel in the camera t
1. A method for calibrating a camera system having a plurality of cameras on a housing, comprising: aligning the housing to a coordinate system;calibrating each camera of the plurality of cameras with respect to the coordinate system, wherein calibrating includes: exposing each pixel in the camera to two distinct points, wherein the locations of the two distinct points within the coordinate system are known,determining a pixel vector for each pixel based on the locations of the two distinct points, andgenerating a pixel vector map including pixel vectors for each of the pixels in the camera; andgenerating a composite pixel vector map including pixel vector maps for each of the plurality of cameras. 2. The method of claim 1, wherein the coordinate system is a three-dimensional coordinate system. 3. The method of claim 2, wherein the two distinct points include a first point being a camera reference point and a second point being on an object in an image captured by the camera. 4. The method of claim 3, wherein the camera reference point is a center of the camera. 5. The method of claim 1, further including determining the locations of the two distinct points based on a location of the camera and a location of a plurality of axes defining the coordinate system. 6. The method of claim 5, wherein the plurality of axes are each defined by a line passing through the housing. 7. The method of claim 6, wherein determining the location of one of the two distinct points includes determining a distance from the camera to each of the plurality of lines passing through the housing. 8. The method of claim 7, wherein determining the location of the other of the two distinct points includes determining a distance an object in a field of view of the camera to each of the plurality of lines passing through the housing. 9. The method of claim 6, further including determining a location of each of the cameras, including: determining a coordinate location of each of the plurality of cameras within the coordinate system based on the plurality of lines, anddetermining a distance between each of the plurality of a cameras and at least one other camera based on the coordinate locations. 10. The method of claim 9, wherein the composite pixel vector map further includes the locations of each of the cameras. 11. A digital camera system, comprising: a camera housing aligned to a coordinate system;a plurality of digital cameras having overlapping fields of view rigidly mounted to the housing;a mass storage device storing image data; anda controller in communication with the plurality of digital cameras and the mass storage device, the controller configured to calibrate the camera system, including: exposing each pixel in the camera to two distinct points, wherein the locations of the two distinct points within the coordinate system are known,determining a pixel vector for each pixel based on the locations of the two distinct points,generating a pixel vector map including pixel vectors for each of the pixels in the camera, andgenerating a composite pixel vector map including pixel vector maps for each of the plurality of cameras. 12. The system of claim 11, wherein the coordinate system is a three-dimensional coordinate system. 13. The system of claim 12, wherein the two distinct points include a first point being a camera reference point and a second point being on an object in an image captured by the camera. 14. The system of claim 13, wherein the camera reference point is a center of the camera. 15. The system of claim 11, wherein the controller is further configured to determine the locations of the two distinct points based on a location of the camera and a location of a plurality of axes defining the coordinate system. 16. The system of claim 15, wherein the plurality of axes are each defined by a line passing through the housing. 17. The system of claim 16, wherein determining the location of one of the two distinct points includes determining a distance from the camera to each of the plurality of lines passing through the housing. 18. The system of claim 17, wherein determining the location of the other of the two distinct points includes determining a distance an object in a field of view of the camera to each of the plurality of lines passing through the housing. 19. The system of claim 16, wherein the controller is further configured to determine a location of each of the cameras, including: determining a coordinate location of each of the plurality of cameras within the coordinate system based on the plurality of lines, anddetermining a distance between each of the plurality of a cameras and at least one other camera based on the coordinate locations. 20. The system of claim 19, wherein the composite pixel vector map further includes the locations of each of the cameras.
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이 특허에 인용된 특허 (33)
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