This is an example USB project showing how to interface an optical mouse sensor (the ADNS-2620) with a standard XP/Vista computer.
The TD-USB-01 board with a PIC18F2550 communicates with:
* the PC: USB 2.0 through a mini-B connector.
* the mouse sensor board: SPI over 4-wire flatcable.
In the last decade the processing of polygonal meshes has
emerged as an active and very productive research area. This
can basically be attributed to two developments:
Modern geometry acquisition devices, like laser scanners
and MRT, easily produce raw polygonal meshes of
ever growing complexity
Downstream applications like analysis tools (medical
imaging), computer aided manufacturing, or numerical
simulations all require high quality polygonal meshes
as input.
The need to bridge the gap between raw triangle soup data
and high-quality polygon meshes has driven the research on
ecient data structures and algorithms that directly operate
on polygonal meshes rather than on a (most often not
feasible) intermediate CAD representation.
This book has been written to support a practically oriented course in programming language
translation for senior undergraduates in Computer Science. More specifically, it is aimed at students
who are probably quite competent in the art of imperative programming (for example, in C++,
Pascal, or Modula-2), but whose mathematics may be a little weak students who require only a
solid introduction to the subject, so as to provide them with insight into areas of language design
and implementation, rather than a deluge of theory which they will probably never use again
students who will enjoy fairly extensive case studies of translators for the sorts of languages with
which they are most familiar students who need to be made aware of compiler writing tools, and to
come to appreciate and know how to use them. It will hopefully also appeal to a certain class of
hobbyist who wishes to know more about how translators work.
This library implements the KLT Tracking algorithm [2004] for Feature Tracking in Video useful in computer vision tasks like object recognition, image indexing, tracking and structure from motion. This implementation uses programmable Graphics Hardware to achieve considerable speedup in the running time of the GPU-based implementation.
I would like to thank my advisor, Dr. A. Lynn Abbott, for helping me throughout
my research, Gary Fleming and the rest of the people at NASA Langley who provided all
the flight information and image sequences, and my parents who supported me in my
decision to enter graduate study. Also, thanks to Phichet Trisirisipal and Xiaojin Gong
for helping when I had computer vision questions, and Nathan Herald for his help
creating an illustration.
