Abstract: The present disclosure relates to a system and method for calibrating an optical device, such as a camera. In one example, the system includes a light-emitting device that generates light patterns and an ray generator that is positioned between the light-emitting device and the optical device. The ray generator separates the light emitted as part of the light patterns into a plurality of directional rays. The optical device then captures the directional rays and the captured data, along with data corresponding to the light pattern and the ray generator, are used to calibrate the optical device.

Abstract: Embodiments herein include systems, methods and articles of manufacture for calibrating a camera. In one embodiment, a computing system may be coupled to a calibration apparatus and the camera to programmatically identify the intrinsic properties of the camera. The calibration apparatus includes a plurality of light sources which are controlled by the computer system. By selectively activating one or more of the light sources, the computer system identifies correspondences that relate the 3D position of the light sources to the 2D image captured by the camera. The computer system then calculates the intrinsics of the camera using the 3D to 2D correspondences. After the intrinsics are measured, cameras may be further calibrated to in order to identify 3D locations of objects within their field of view in a presentation area. Using passive markers in a presentation area, computing system may use an iterative process that estimates the actual pose of the camera.

Abstract: Embodiments herein include systems, methods and articles of manufacture for calibrating a camera. In one embodiment, a computing system may be coupled to a calibration apparatus and the camera to programmatically identify the intrinsic properties of the camera. The calibration apparatus includes a plurality of light sources which are controlled by the computer system. By selectively activating one or more of the light sources, the computer system identifies correspondences that relate the 3D position of the light sources to the 2D image captured by the camera. The computer system then calculates the intrinsics of the camera using the 3D to 2D correspondences. After the intrinsics are measured, cameras may be further calibrated to in order to identify 3D locations of objects within their field of view in a presentation area. Using passive markers in a presentation area, computing system may use an iterative process that estimates the actual pose of the camera.

Abstract: A three-dimensional coordinate position of a calibration device is determined. Further, a code is emitted to an image capture device. The code indicates the three-dimensional coordinate position of the calibration device. In addition, an image of light emitted from the calibration device is captured. The light includes the code. An image capture device three-dimensional coordinate position of the calibration device is calibrated according to the real world three-dimensional coordinate position of the calibration device indicated by the code.