Range imaging offers an inexpensive and accurate means for
digitizing the shape of Three-dimensional objects. Because most
objects self occlude, no single range image suffices to describe the
entire object. We present a method for combining a collection of
range images into a single polygonal mesh that completely describes
an object to the extent that it is visible from the outside.
Three-input Majority Voter
-- The entity declaration is followed by three alternative architectures which achieve the same functionality in different ways.
The Art of Assembly Language Amazing! You’re actually reading this. That puts you into one of three categories: a student who is
being forced to read this stuff for a class, someone who picked up this book by accident (probably
because you have yet to be indoctrinated by the world at large), or one of the few who actually have an
interest in learning assembly language.
a program that takes in three arguments: the first one represents the size of an array that will be
created the second one represents the maximum value that each of the array elements can have the third
one represents the position in the array that you would like to print the value of.
Three-dimensional real-time graphics are a prevalent technology nowadays, thanks
to the steady rise of processing power and specialized graphics hardware. One of the
goals of computer graphics most sought after and difficult to achieve is to reproduce realistic outdoor environments featuring dense forests.
Easily editable files to simulate three MIMO predictive control algorithms.
These files are intended as a support to this book to enable students to investigate predictive control algorithms from the formulation of the
prediction equations right through to the closed-loop simulation.
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.
