Estimation of the mean of the lognormal distribution has received much attention in the literature beginning with Finney (1941). The problem is of significant practical importance because of the ubiquitous use of log-transformation. In this paper we consider estimation of a parametric function associated with the lognormal distribution of which the mean, median and moments are special cases. We...

This paper proposes a novel approach for smoothing surfaces represented by triangular meshes. The proposed method is a two-step procedure: surface normal smoothing through fuzzy vector median (FVM) filtering followed by vertex position update based on the least square error criteria. This paper applies the fuzzy ordering theory to the vector based data and introduces the fuzzy vector median. Th...

We consider the problem of image comparison in order to match smooth surfaces under varying illumination. In a smooth surface nearby surface normals are highly correlated. We model such surfaces as Gaussian processes and derive the resulting statistical characterization of the corresponding images. Supported by this model, we treat the difference between two images, associated with the same sur...

This paper focuses on the application of modal decomposition to a nonlinear convection-reaction-diffusion distributed parameter system (DPS). More precisely it will concentrate on the dynamical model of an industrial pulp bleaching tubular reactor described by nonlinear partial differential equations (PDEs). The objective of the modal decomposition is to generate, for control design, a discreti...

In this paper, we propose a sharpness dependent filter design based on the fairing of surface normal, whereby the filtering algorithm automatically selects a filter. This may be a mean-filter, a min-filter, or a filter ranked between these two, depending on the local sharpness value and the sharpness dependent weighting function selected. To recover the original shape of a noisy model, the algo...

We investigate different concepts related to observability of linear constant coefficient differential-algebraic equations. Regularity, which, loosely speaking, guarantees existence and uniqueness of solutions for any inhomogeneity, is not required in this article. Concepts like impulse observability, observability at infinity, behavioral observability, strong and complete observability are des...

Obstacle detection is an essential capability for the safe guidance of autonomous vehicles, especially in urban environments. This paper presents an efficient method to integrate spatial and temporal constraints for detecting and tracking obstacles in urban environments. In order to enhance the reliability of the obstacle detection task, we do not consider the urban roads as rigid planes, but a...

A high intensity laser obliquely incident on an underdense plasma with density ripple produces resonant second and third-harmonic radiation in the reflected component. The highest efficiency of harmonic generation occurs when the pump laser is incident at critical angle and the angle between ripple wave vector q and the surface normal has a specific value / — /m, at which phase-matching conditi...

This paper explores the new image processing domain involving images from depth cameras. While depth camera are a 2D array of data, the information they store is three dimensional in nature. Given a good depth image, the question now becomes what can we do with this added information. This paper explores the specific application of image relighting. Signal processing techniques of Guassian and ...

Preliminary investigation on the feasibility of size selective passive sampling for atmospheric particles was undertaken through laboratory simulated and outdoor sampling. The passive samplers used in the research were improved from passive sampler used for sampling atmospheric organic contaminants. Sampled particle size distribution was analyzed by MasterSizer 2000 laser particle size analyzer...