A one-dimensional calibration object consists of three or more collinear points with known relative positions.
It is generally believed that a camera can be calibrated only when a 1D calibration object is in planar motion or rotates
around a ¯ xed point. In this paper, it is proved that when a multi-camera is observing a 1D object undergoing general
rigid motions synchronously, the camera set can be linearly calibrated. A linear algorithm for the camera set calibration
is proposed，and then the linear estimation is further re¯ ned using the maximum likelihood criteria. The simulated and
real image experiments show that the proposed algorithm is valid and robust.
Hey. This some pid code for the atmega88 that I once used to control a heater. It s purpose
is pretty specific, and I only wrote it to work on the mega88, so the code itself won t be too useful. It is
a good place to start if you re trying to use or figure out pid though.
This document contains a general overview in the first few sections as well as a more detailed reference in later sections for SVMpython. If you re already familiar with SVMpython, it s possible to get a pretty good idea of how to use the package merely by browsing through svmstruct.py and multiclass.py. This document provides a more in depth view of how to use the package.
Note that this is not a conversion of SVMstruct to Python. It is merely an embedding of Python in existing C code. All code other than the user implemented API functions is still in C, including optimization.
A stochastic-flow network consists of a set of nodes, including source nodes which supply various resources and sink nodes at which
resource demands take place, and a collection of arcs whose capacities have multiple operational states.
二維SIMPLEC程序，包含三個project:二維穩態傳熱，常粘度系數湍流的動態模擬，湍流中被動標量擴散（基于時均的 k –ε方程．
同時壓縮包中還有詳細的說明文檔．
注意：本程序只限于學習用途，切勿作商業用途，作者享有對此代碼及使用目的的最終解釋權！
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Cccc This computer program was copied from the graduate student course program
Cccc of the University of Minnesota. Part of it was re-formulated to meet the
Cccc personal computer environment. Some inappropriate expressions were also
Cccc corrected. The program is used only for teaching purpose. No part of it
Cccc may be published. You may use it as a frame to re-develop your own code
Cccc for research purpose. XJTU Instructor, 1995.11
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Using spectra to calculate strength of reflections and losses in passive cavities.The wavelength, reflection spectrum and transmission spectrum should be in the first 3 columns of an Excel file, which is selected when the cavity.m Matlab file is run.
vs.net技術內幕
The release of the Microsoft Visual Studio .NET (and Visual C++ .NET in particular) has underscored Microsoft’s increasing focus on Internet technologies, which are at the heart of the Microsoft .NET architecture. In addition to supporting the .NET initiative, Visual C++ .NET keeps all the productivity-boosting features you’re familiar with, such as Edit And Continue, IntelliSense, AutoComplete, and code tips. Visual C++ .NET also includes many new features such as managed code extensions for .NET programming, support for attributed code, and a more consistent development environment. These features take Visual C++ .NET to a new level. This book will get you up to speed on the latest technologies introduced into Visual C++.
Python Development Environment (Python IDE plugin for Eclipse). Features editor, code completion, refactoring, outline view, debugger, and other goodies - check http://pydev.sf.net)
Aiming at the application of passive trackinn based on sensor array, a new passive trackinn usinn sensor array
based on particle filter was proposed. Firstly, the“fake points" could be almost entirely and exactly deleted with the aids of the
sensor array at the expense of an additional sensor. Secondly, considered the fact that the measurements notten from each array
were independent in passive trackinn system, a novel sequential particle filter usinn sensor array with improved distribution was proposed. At last, in a simulation study we compared this approach a壇orithm with traditional trackinn methods. The simulation re-sups show that the proposed method can nreatly improve the state estimation precision of sensor array passive trackinn system.
