Research news on camera calibration

Camera calibration methods estimate the intrinsic and extrinsic parameters of an imaging system to accurately relate 3D scene geometry to 2D image measurements. Intrinsics typically include focal lengths, principal point coordinates, skew, and lens distortion coefficients (e.g., radial and tangential), while extrinsics describe the camera pose as rotation and translation in a world coordinate frame. Calibration procedures often use images of known geometric patterns (such as planar checkerboards or 3D calibration rigs) and solve a nonlinear optimization problem, commonly via maximum likelihood or bundle adjustment, to minimize reprojection error and yield a consistent camera model for metric measurements and geometric reconstruction.

Earth from space: Eyes on our moon

In an unusual perspective for an Earth-observing satellite, the Copernicus Sentinel-2 mission captured this image of the moon, Earth's only natural satellite. The Sentinel-2 mission acquired this lunar image by rolling one ...

NASA begins moon mission plume-surface interaction tests

In March, NASA researchers employed a new camera system to capture data imagery of the interaction between Firefly Aerospace Blue Ghost Mission-1 lander's engine plumes and the lunar surface.