|
Showing 1 - 4 of
4 matches in All Departments
This book describes active illumination techniques in computer
vision. We can classify computer vision techniques into two
classes: passive and active techniques. Passive techniques observe
the scene statically and analyse it as is. Active techniques give
the scene some actions and try to facilitate the analysis. In
particular, active illumination techniques project specific light,
for which the characteristics are known beforehand, to a target
scene to enable stable and accurate analysis of the scene.
Traditional passive techniques have a fundamental limitation. The
external world surrounding us is three-dimensional; the image
projected on a retina or an imaging device is two-dimensional. That
is, reduction of one dimension has occurred. Active illumination
techniques compensate for the dimensional reduction by actively
controlling the illumination. The demand for reliable vision
sensors is rapidly increasing in many application areas, such as
robotics and medical image analysis. This book explains this new
endeavour to explore the augmentation of reduced dimensions in
computer vision. This book consists of three parts: basic concepts,
techniques, and applications. The first part explains the basic
concepts for understanding active illumination techniques. In
particular, the basic concepts of optics are explained so that
researchers and engineers outside the field can understand the
later chapters. The second part explains currently available active
illumination techniques, covering many techniques developed by the
authors. The final part shows how such active illumination
techniques can be applied to various domains, describing the issue
to be overcome by active illumination techniques and the advantages
of using these techniques. This book is primarily aimed at 4th year
undergraduate and 1st year graduate students, and will also help
engineers from fields beyond computer vision to use active
illumination techniques. Additionally, the book is suitable as
course material for technical seminars.
A large number of cultural heritage objects around the world are
deteriorating or being destroyed due to the work of natural
disasters, such as earthquakes and floods, and human-inflicted
destruction, such as war and vandalism. In the wake of these
threats, 3D data becomes a critical component to permanently
recording the shapes of these important objects so that they might
be passed down to future generations. Digitally Archiving Cultural
Objects describes thorough research and methods for preserving
cultural heritage objects through the use of 3D digital data. These
methods were developed through using computer vision and computer
graphics technologies. This data can also be used for simulation
and restoration purposes as well as towards various multimedia
applications. This comprehensive book is organized into four parts.
Part 1 describes various sensors designed to obtain data. Part 2
contains a collection of papers that describe the geometric
pipeline, converting obtained data into a consistent geometric
model, through determining relative relations among digital data
and connecting those data into a uniform representation. Part 3
concerns photometric issues, including how to map color pictures on
a geometric model and how to remove the effect of sunlight in the
pictures obtained. Part 4 reports on the effort to establish a
digital museum to restore and display the original appearance of
heritage objects as well as conduct analyses of obtained data for
heritage research.
This book describes active illumination techniques in computer
vision. We can classify computer vision techniques into two
classes: passive and active techniques. Passive techniques observe
the scene statically and analyse it as is. Active techniques give
the scene some actions and try to facilitate the analysis. In
particular, active illumination techniques project specific light,
for which the characteristics are known beforehand, to a target
scene to enable stable and accurate analysis of the scene.
Traditional passive techniques have a fundamental limitation. The
external world surrounding us is three-dimensional; the image
projected on a retina or an imaging device is two-dimensional. That
is, reduction of one dimension has occurred. Active illumination
techniques compensate for the dimensional reduction by actively
controlling the illumination. The demand for reliable vision
sensors is rapidly increasing in many application areas, such as
robotics and medical image analysis. This book explains this new
endeavour to explore the augmentation of reduced dimensions in
computer vision. This book consists of three parts: basic concepts,
techniques, and applications. The first part explains the basic
concepts for understanding active illumination techniques. In
particular, the basic concepts of optics are explained so that
researchers and engineers outside the field can understand the
later chapters. The second part explains currently available active
illumination techniques, covering many techniques developed by the
authors. The final part shows how such active illumination
techniques can be applied to various domains, describing the issue
to be overcome by active illumination techniques and the advantages
of using these techniques. This book is primarily aimed at 4th year
undergraduate and 1st year graduate students, and will also help
engineers from fields beyond computer vision to use active
illumination techniques. Additionally, the book is suitable as
course material for technical seminars.
As our heritage deteriorates through erosion, human error or
natural disasters, it has become more important than ever to
preserve our past - even if it is in digital form only. This highly
relevant work describes thorough research and methods for
preserving cultural heritage objects through the use of 3D digital
data. These methods were developed via computer vision and computer
graphics technologies. They offer a way of passing our heritage
down to future generations.
|
You may like...
Polsslag
Marie Lotz
Paperback
(1)
R360
R337
Discovery Miles 3 370
|