Image Depth Approximation using Bezier-Bernstein polynomial for 3D cameras
passive depth estimation techniques with improved precision can replace active methods in 3D cameras. In this paper, we introduce accurate depth estimation from image focus using cubic degree Bezier-Bernstein polynomial. Experimental results demonstrate its accuracy and effectiveness for 3D shape recovery.
The main objective of this article is to study dynamic of the ::: three-dimensional Boussinesq equations with the periodic boundary ::: condition.We prove that when the Rayleigh number $R$ crosses the ::: first critical Rayleigh number $R_c$, the Rayleigh-Benard problem ::: bifurcates from the basic state to an global attractor $\Sigma$, which is homeomorphic to $S^3$.