C++ XML is a book exclusively devoted to the pow er and complexities of integrating XML
standards into C++. As a developer,this is a book you cannot miss. C++ XML addresses all major
standards,toolkits,and types of applications dealing with XML as a format for representing and
exchanging data,as well as XML behavior,from a C++ standpoint. It explains the implementation
of applications and reusuable frameworks for all major XML purposes exclusively using C/C++
parsers and toolkits, such as expat,Xerces,Xalan,libxml2,and Microsoft’s MSXML.
Sensing and planning are at the core of robot motion. Traditionally,
mobile robots have been used for performing various tasks
with a general-purpose processor on-board. This book grew out of
our research enquiry into alternate architectures for sensor-based
robot motion. It describes our research starting early 2002 with the
objectives of obtaining a time, space and energy-efficient solution
for processing sensor data for various robotic tasks.
New algorithms and architectures have been developed for
exploration and other aspects of robot motion. The research has
also resulted in design and fabrication of an FPGA-based mobile
robot equipped with ultrasonic sensors. Numerous experiments
with the FPGA-based mobile robot have also been performed and
they confirm the efficacy of the alternate architecture.
These are all the utilities you need to generate MPEG-I movies on a
UNIX box with full motion video and stereo sound. For more information
on this unusual application of Linux, look in the docs directory or go
to www.freeyellow.com/members4/heroine
Rotating shafts experience a an elliptical motion called whirl. It is important to decompose this motion into a forward and backward whil orbits. The current function makes use of two sensors to generate a bi-directional spectrogram. The method can be extended to any time-frequency distribution
%
% compute the forward/backward Campbell/specgtrogram
%
% INPUT:
% y (n x 2) each column is measured from a different sensor
% ///////
% __
% |s1| y(:,1)
% |__|
% __
% / \ ________|/
% | | | s2 |/ y(:,2)
% \____/ --------|/
%
% Fs Sampling frequnecy
%
% OUTPUT:
% B spectrogram/Campbel diagram
% x x-axis coordinate vector (time or Speed)
% y y-axis coordinate vector (frequency [Hz])
This paper introduces an affine invariant of trapezia, and the explicit constraint equation between the intrinsic matrix of a camera and the similarity invariants of a trapezium are established using the affine invariant. By this constraint, the inner parameters, motion parameters of the cameras and the similarity invariants of trapezia can be linearly determined using some prior knowledge on the cameras or the trapezia. The proposed algorithms have wide applicability since parallel lines are not rare in many scenes. Experimental results validate the proposed approaches. This work presents a unifying framework based on the parallelism constraint, and the previous methods based on the parallelograms or the parallelepipeds can be integrated into this framework.
Key words: invariant parallelism constraint camera calibration 3D reconstruction