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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.
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.
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Computer Vision -- ACCV 2012 - 11th Asian Conference on Computer Vision, Daejeon, Korea, November 5-9, 2012, Revised Selected Papers, Part I (Paperback, 2013 ed.)
Kyoung Mu Lee, Yasuyuki Matsushita, James M. Rehg, Zhanyi Hu
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R1,736
Discovery Miles 17 360
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Ships in 10 - 15 working days
|
The four-volume set LNCS 7724--7727 constitutes the thoroughly
refereed post-conference proceedings of the 11th Asian Conference
on Computer Vision, ACCV 2012, held in Daejeon, Korea, in November
2012. The total of 226 contributions presented in these volumes was
carefully reviewed and selected from 869 submissions. The papers
are organized in topical sections on object detection, learning and
matching; object recognition; feature, representation, and
recognition; segmentation, grouping, and classification; image
representation; image and video retrieval and medical image
analysis; face and gesture analysis and recognition; optical flow
and tracking; motion, tracking, and computational photography;
video analysis and action recognition; shape reconstruction and
optimization; shape from X and photometry; applications of computer
vision; low-level vision and applications of computer vision.
|
Computer Vision -- ACCV 2012 - 11th Asian Conference on Computer Vision, Daejeon, Korea, November 5-9, 2012, Revised Selected Papers, Part II (Paperback, 2013 ed.)
Kyoung Mu Lee, Yasuyuki Matsushita, James M. Rehg, Zhanyi Hu
|
R1,730
Discovery Miles 17 300
|
Ships in 10 - 15 working days
|
The four-volume set LNCS 7724--7727 constitutes the thoroughly
refereed post-conference proceedings of the 11th Asian Conference
on Computer Vision, ACCV 2012, held in Daejeon, Korea, in November
2012. The total of 226 contributions presented in these volumes was
carefully reviewed and selected from 869 submissions. The papers
are organized in topical sections on object detection, learning and
matching; object recognition; feature, representation, and
recognition; segmentation, grouping, and classification; image
representation; image and video retrieval and medical image
analysis; face and gesture analysis and recognition; optical flow
and tracking; motion, tracking, and computational photography;
video analysis and action recognition; shape reconstruction and
optimization; shape from X and photometry; applications of computer
vision; low-level vision and applications of computer vision.
|
Computer Vision -- ACCV 2012 - 11th Asian Conference on Computer Vision, Daejeon, Korea, November 5-9, 2012, Revised Selected Papers, Part IV (Paperback, 2013 ed.)
Kyoung Mu Lee, Yasuyuki Matsushita, James M. Rehg, Zhanyi Hu
|
R1,681
Discovery Miles 16 810
|
Ships in 10 - 15 working days
|
The four-volume set LNCS 7724--7727 constitutes the thoroughly
refereed post-conference proceedings of the 11th Asian Conference
on Computer Vision, ACCV 2012, held in Daejeon, Korea, in November
2012. The total of 226 contributions presented in these volumes was
carefully reviewed and selected from 869 submissions. The papers
are organized in topical sections on object detection, learning and
matching; object recognition; feature, representation, and
recognition; segmentation, grouping, and classification; image
representation; image and video retrieval and medical image
analysis; face and gesture analysis and recognition; optical flow
and tracking; motion, tracking, and computational photography;
video analysis and action recognition; shape reconstruction and
optimization; shape from X and photometry; applications of computer
vision; low-level vision and applications of computer vision.
|
Computer Vision -- ACCV 2012 - 11th Asian Conference on Computer Vision, Daejeon, Korea, November 5-9, 2012, Revised Selected Papers, Part III (Paperback, 2013 ed.)
Kyoung Mu Lee, Yasuyuki Matsushita, James M. Rehg, Zhanyi Hu
|
R1,706
Discovery Miles 17 060
|
Ships in 10 - 15 working days
|
The four-volume set LNCS 7724--7727 constitutes the thoroughly
refereed post-conference proceedings of the 11th Asian Conference
on Computer Vision, ACCV 2012, held in Daejeon, Korea, in November
2012. The total of 226 contributions presented in these volumes was
carefully reviewed and selected from 869 submissions. The papers
are organized in topical sections on object detection, learning and
matching; object recognition; feature, representation, and
recognition; segmentation, grouping, and classification; image
representation; image and video retrieval and medical image
analysis; face and gesture analysis and recognition; optical flow
and tracking; motion, tracking, and computational photography;
video analysis and action recognition; shape reconstruction and
optimization; shape from X and photometry; applications of computer
vision; low-level vision and applications of computer vision.
|
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