The recent proliferation of high-res cameras presents an opportunity to achieve unprecedented levels of precision in visual 3D reconstruction. Yet the camera calibration pipeline, developed decades ago using checkerboards, has remained the de facto standard. In this paper, we ask the question: are checkerboards the optimal pattern for high precision calibration? We empirically demonstrate that deltille grids (regular triangular tiling) produce the highest precision calibration of the possible tilings of Euclidean plane. We posit that they should be the new standard for high-precision calibration and present a complete ecosystem for calibration using deltille grids including: (1) a highly precise corner detection algorithm based on polynomial surface fitting; (2) an indexing scheme based on polarities extracted from the fitted surfaces; and (3) a 2D coding system for deltille grids, which we refer to as DelTags, in lieu of conventional matrix barcodes. We demonstrate state-of-the-art performance using deltille calibration, and apply the full calibration ecosystem, through the use of 3D calibration objects, for multiview camera calibration.
|저 자||Hyowon Ha, Michal Perdoch, Hatem Alismail, In So Kweon, Yaser Sheikh|
|학 회||IEEE International Conference on Computer Vision (ICCV)|