PROJECT TITLE :

Integrated self-calibration of single axis motion for three-dimensional reconstruction of roots

ABSTRACT:

In this study, the authors gift an integrated approach for recovering each the intrinsic and extrinsic parameters of a camera from the silhouettes and have purpose tracking of an object in a turntable image sequence. Their motivation in taking the integrated approach is to unravel the matter of getting the Euclidean 3-dimensional (3D) reconstruction of cereal roots growing in gellan gum or objects immersed in water and imaged underneath turntable motion. The matter of self-calibration by previous approaches is very tough during this case because the initialisation of the rotation axis from the bi-tangent lines to the surface of revolution isn't possible. The conics projected from the circular trajectories of root tips are highly eccentric. Their approach is to initialise the axis of rotation ls from the centre of the conics fitted to feature purpose trajectory. An estimate of ls is then iteratively estimated by minimising a blunder function in estimating the harmonic homology introduced by the surface of symmetry. They compare the results of their approach to those of the most-likelihood estimation-based approach to conic fitting of point feature trajectories. They show results of real 3D reconstruction of roots, that are detailed enough for phenotypic analysis and are better each quantitatively and qualitatively than those using just feature point tracking.