Revisiting Zhang's 1D calibration algorithm
Pattern Recognition
Simple camera calibration from a single image using five points on two orthogonal 1-D objects
IEEE Transactions on Image Processing
A global optimal algorithm for camera calibration with one-dimensional objects
HCII'11 Proceedings of the 14th international conference on Human-computer interaction: design and development approaches - Volume Part I
| Hi-index | 0.00 |
Camera Calibration with one-dimensional objects is based on an algebraic constraint on the image of the absolute conic. We will give an alternative derivation to this constraint, allowing a geometrical interpretation. From this we derive the degenerate cases, or critical motions, where the calibration algorithm will fail. We also show that constraints on the intrinsic parameters lead to simplified closed-form solutions and a reduced set of critical motions. A simulation and a real data experiment is performed to evaluate the accuracy of the calibration result for motions close to being critical.