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.
This document provides guidelines for integrating a discrete high speed USB host controller onto a fourlayer
desktop motherboard. The material covered can be broken into three main categories: Board design
guidelines, EMI/ESD guidelines and front panel USB guidelines. Section 1.1 Background provides an
explanation of the routing experiments and testing performed to validate the feasibility of 480 Megabits per
second on an actual motherboard. Section 7 contains a design checklist that lists each design
recommendation described in this document. High speed USB operation is described in the USB 2.0
Specification (http://www.usb.org/developers/docs.html).
This document provides guidelines for integrating a discrete high speed USB host controller onto a fourlayer
desktop motherboard. The material covered can be broken into three main categories: Board design
guidelines, EMI/ESD guidelines and front panel USB guidelines. Section 1.1 Background provides an
explanation of the routing experiments and testing performed to validate the feasibility of 480 Megabits per
second on an actual motherboard. Section 7 contains a design checklist that lists each design
recommendation described in this document. High speed USB operation is described in the USB 2.0
Specification (http://www.usb.org/developers/docs.html).
The ability to write efficient, high-speed arithmetic routines ultimately depends
upon your knowledge of the elements of arithmetic as they exist on a computer. That
conclusion and this book are the result of a long and frustrating search for
information on writing arithmetic routines for real-time embedded systems.
With instruction cycle times coming down and clock rates going up, it would
seem that speed is not a problem in writing fast routines. In addition, math
coprocessors are becoming more popular and less expensive than ever before and are
readily available. These factors make arithmetic easier and faster to use and
implement. However, for many of you the systems that you are working on do not
include the latest chips or the faster processors. Some of the most widely used
microcontrollers used today are not Digital Signal Processors (DSP), but simple
eight-bit controllers such as the Intel 8051 or 8048 microprocessors.
