In this paper, we derive new geometric invariants for structured 3D points and lines from single image under projective transform, and we propose a novel model-based 3D object recognition algorithm using them. Based on the matrix representation of the transformation between space features (points and lines) and the corresponding projected image features, new geometric invariants are derived via...

direct restoration of severely damaged endodontically treated teeth (ett) using available and conventional and current matrix systems is sometimes impractical and in some clinical cases is impossible. the aim of this paper is to introduce and describe a new matrix system based on rigid tray technique (rtt) for dealing with such difficult clinical cases.

This paper utilizes a clustering approach based on Simulated Annealing (SA) method to select optimum satellite subsets from the visible satellites. Geometric Dilution of Precision (GDOP) is used as criteria of optimality. The lower the values of the GDOP number, the better the geometric strength, and vice versa. Not needing to calculate the inverse matrix, which is time-consuming process, is a ...

In order to improve the detection of malicious tampering images, it is necessary to decrease the fragility of hidden watermarks, even for digital images which have been incidentally distorted. In this paper, we propose a new invariant semi-fragile digital watermarking technique based on eigenvalues and eigenvectors of real symmetric matrix generated by the four pixel pairs. A signature bit for ...

The chapter aims to give computational algorithm to solve a multiobjective non-linear programming problem using Neutrosophic geometric programming technique. As the Neutrosophic optimization technique utilizes degrees of truth-membership, falsity-membership and indeterminacy-membership functions, we made a study of correspondence among those membership functions to see its impact on optimizatio...

In many of the studies concerning Accelerated life testing (ALT), the log linear function between life and stress which is just a simple re-parameterization of the original parameter of the life distribution is used to obtain the estimates of original parameters but from the statistical point of view, it is preferable to work with the original parameters instead of developing inferences for the...

The performance of finite element computation depends strongly on the quality of the geometric mesh and the efficiency of the numerical solution of the linear systems resulting from the discretization of partial differential equation (PDE) models. It is common knowledge that mesh geometry affects not only the approximation error of the finite element solution but also the spectral properties of...

In this paper, we present a novel algorithmic approach , the hybrid matrix geometric/invariant subspace method, for nding the stationary probability distribution of the nite QBD process which arises in performance analysis of computer and communication systems. Assuming that the QBD state space is deened in two dimensions with m phases and K + 1 levels , the solution vector for level k, k ; 0 k...

In this paper, we present a novel algorithmic approach , the hybrid matrix geometric/invariant subspace method, for nding the stationary probability distribution of the nite QBD process which arises in performance analysis of computer and communication systems. Assuming that the QBD state space is deened in two dimensions with m phases and K + 1 levels , the solution vector for level k, k ; 0 k...