Vanishing points can provide information about the 3D world and hence are of great interest for machine vision applications. In this paper, we present a single point perspectivity based method for robust and accurate estimation of Vanishing Points (VPs). It utilizes location of 3 collinear points in image space and their distance ratio in the world frame for VP estimation. We present an algebra...

One important problem with software development projects is to get an early and nevertheless accurate estimation of the software development costs. In the literature various methods have been developed for this purpose. The most popular examples are Boehm's COCOMO , Albrecht's function-point method or Sneed's object-point method . The two last-named methods are based on early results of the ana...

A Bayesian analysis is used to detect a change-point in a sequence of independent random variables from exponential distributions. In This paper, we try to estimate change point which occurs in any sequence of independent exponential observations. The Bayes estimators are derived for change point, the rate of exponential distribution before shift and the rate of exponential distribution after s...

this paper presents a probabilistic optimal power flow (popf) algorithm considering different uncertainties in a smart grid. different uncertainties such as variation of nodal load, change in system configuration, measuring errors, forecasting errors, and etc. can be considered in the proposed algorithm. by increasing the penetration of the renewable energies in power systems, it is more essent...

This paper presents a FPGA-based multiprocessor system for the essential matrix estimation from a set of point correspondences containing outliers. The estimation is performed using two methods: the 8-point and the 5-point algorithm, and complemented with robust estimation. The description of the architecture and the hardware-specific design considerations are given. Performance and resource us...

It is a conventional belief that line-based approaches perform better than point-based ones for homography estimation, as the linefitting is generally more noise resistant than point detection. In this note, we show that blithely using line-based estimation is a risky business. More specifically, we show that when the image line(s) is (are) passing through or close to the origin, the line-based...

In recent years, position estimation systems using wireless LAN have been actively studied, along with the publication of many contributions. However, most of these location estimation methods require prior knowledge of wireless LAN access point locations. To deploy a location estimation system widely in the real world, it is crucial to develop an efficient pre-acquisition method of wireless LA...

This paper proposes a new method for online secondary path modeling in feedback active noise control (ANC) systems. In practical cases, the secondary path is usually time-varying. For these cases, online modeling of secondary path is required to ensure convergence of the system. In literature the secondary path estimation is usually performed offline, prior to online modeling, where in the prop...