In this paper, a new pattern based optical tracking method is presented for the recognition and pose estimation of input devices for virtual or augmented reality environments. The method is based on pencils of line fiducials, which reduces occlusion problems and allows for single camera pattern recognition and orientation estimation. Pattern recognition is accomplished using a projective invari...

This paper presents a wavelet-based Gaussian method (WGM) for the peak intensity estimation of energy dispersive X-ray fluorescence (EDXRF). The relationship between the parameters of Gaussian curve and the wavelet coefficients of Gaussian peak point is firstly established based on the Mexican hat wavelet. It is found that the Gaussian parameters can be accurately calculated by any two wavelet ...

Autonomous aerial refueling (AAR) is the most effective way to extend unmanned aerial vehicles’ (UAV) endurance and improve their mission performance. A monocular vision based relative pose estimation (MVRP) method is proposed to solve the problem of close-range and high-accuracy relative pose estimation, which is very important and critical for AAR. MVRP is a feature point tracking based metho...

We present a novel method of velocity eld estimation for the points on moving contours in a 2-D image sequence. The method determines the corresponding point in a next image frame by minimizing the curvature change of a given contour point. As a rst step, snakes are used to locate smooth curves in 2-D imagery. Thereafter, the extracted curves are tracked continuously computing the corresponding...

let $c$ be a nonempty closed convex subset of a real hilbert space $h$. let ${s_n}$ and ${t_n}$ be sequences of nonexpansive self-mappings of $c$, where one of them is a strongly nonexpansive sequence. k. aoyama and y. kimura introduced the iteration process $x_{n+1}=beta_nx_n+(1-beta_n)s_n(alpha_nu+(1-alpha_n)t_nx_n)$ for finding the common fixed point of ${s_n}$ and ${t_n}$, where $uin c$ is ...

A method, which we suggest to call the Empirical Maximum Entropy method, is implicitly present at Maximum Entropy Empirical Likelihood method, as its special, non-parametric case. From this vantage point the entropy-based empirical approach to estimation is surveyed.

A FIELD-WISE WIND RETRIEVAL ALGORITHM FOR THE NASA SCATTEROMETER Charles G. Brown Electrical and Computer Engineering Master of Science An alternative to traditional wind retrieval techniques that does not rely on numerical weather prediction winds is developed and applied in this thesis. Traditional satellite scatterometer wind retrieval algorithms consist of point-wise wind estimation and amb...

This paper presents a model of the envelope of the additive parameters of isolated musical sounds, along with a new method for the estimation of the important envelope splitpoint times. The model consists of start, attack, sustain, release, and end segments with variable split-point amplitude and time. The estimation of the times is done using smoothed derivatives of the envelopes. The estimate...