This paper presents an approach to the registration of individual images to one another to produce a larger composite mosaic. The approach is based on the use of the moments of Zernike orthogonal polynomials to compute the relative scale, rotation and translation between the images. A preliminary ...
real-time simulation of lens flare ghosts while properly treating all important characteristics of the phenomenon. Compared to analytical ray tracing, our solution achieved a two-to-five-times speedup in all tested
It is important to highlight that equations (2) and (3) represent polynomials that depict the ordinary non-seasonal autoregressive and moving average of order p and q respectively. Similarly, equations (4) and (5) represent polynomials that account for the seasonal autoregressive and moving averag...
It is important to note that this approach has already been successfully employed to stabilize other polynomials in previous works in the literature35. Practically, after specifying the surface of CP calculations by determining the exact value of n, the plane of CP is divided into two parts ...
Because we want to extrapolate the wave in an iterative way for all depth values starting from the surface, the choice of the filter parameterization is critical for the stability of the results. To optimize the coefficients of the polynomials, we use theL ...
Numerical issues arising in the case of nearly incompressible materials are addressed using the consistent B‐bar formulation, thus reducing the finite element formulation to one consisting only of displacements. The higher‐order spatial discretization and the nonnegative nature of Bernstein polynomials ...
Active block nodes are processed in the iterative optimization process to select a neuron or CT that best contributes to the D-PNN output and can be included or removed from / from the model (Fig. 4). Optimal first- or second-order polynomials are composed, and their members are selected ...
The basic idea behind PCE is to use orthogonal polynomials defined in terms of random variables to approximate functions of those random variables. Consider the random vector ξ defined in Section 2. The PCE of U(x; ξ) at x is defined as(15)U(x;ξ)=∑α∈Ndcα(x)Φα(ξ),where ...
Variability in the gold standard subjective refraction measurements themselves were also thought to be a source of poor precision7. The ocular wavefront error is most commonly described by the Zernike polynomials16. To satisfy orthogonality constraints with low order modes, some higher order Zernike ...
{13}\), there are 4096 slots within a single ciphertext where we can effectively store up to 4096 genotype variants out of the 16344. Consequently, merely 4 ciphertexts are needed for encrypting a genome feature vector encompassing 16344 genotypes variants. This means that if the polynomials ...