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As a graduate student at Ohio State in the mid-1970s, I inherited a
unique c- puter vision laboratory from the doctoral research of
previous students. They had designed and built an early
frame-grabber to deliver digitized color video from a (very large)
electronic video camera on a tripod to a mini-computer (sic) with a
(huge ) disk drive-about the size of four washing machines. They
had also - signed a binary image array processor and programming
language, complete with a user's guide, to facilitate designing
software for this one-of-a-kindprocessor. The overall system
enabled programmable real-time image processing at video rate for
many operations. I had the whole lab to myself. I designed software
that detected an object in the eldofview,
trackeditsmovementsinrealtime, anddisplayedarunningdescription of
the events in English. For example: "An object has appeared in the
upper right
corner...Itismovingdownandtotheleft...Nowtheobjectisgettingcloser...The
object moved out of sight to the left"-about like that. The
algorithms were simple, relying on a suf cient image intensity
difference to separate the object from the background (a plain
wall). From computer vision papers I had read, I knew that vision
in general imaging conditions is much more sophisticated. But it
worked, it was great fun, and I was hooked.
As a graduate student at Ohio State in the mid-1970s, I inherited a
unique c- puter vision laboratory from the doctoral research of
previous students. They had designed and built an early
frame-grabber to deliver digitized color video from a (very large)
electronic video camera on a tripod to a mini-computer (sic) with a
(huge ) disk drive-about the size of four washing machines. They
had also - signed a binary image array processor and programming
language, complete with a user's guide, to facilitate designing
software for this one-of-a-kindprocessor. The overall system
enabled programmable real-time image processing at video rate for
many operations. I had the whole lab to myself. I designed software
that detected an object in the eldofview,
trackeditsmovementsinrealtime, anddisplayedarunningdescription of
the events in English. For example: "An object has appeared in the
upper right
corner...Itismovingdownandtotheleft...Nowtheobjectisgettingcloser...The
object moved out of sight to the left"-about like that. The
algorithms were simple, relying on a suf cient image intensity
difference to separate the object from the background (a plain
wall). From computer vision papers I had read, I knew that vision
in general imaging conditions is much more sophisticated. But it
worked, it was great fun, and I was hooked.
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Advances in Visual Computing - 14th International Symposium on Visual Computing, ISVC 2019, Lake Tahoe, NV, USA, October 7-9, 2019, Proceedings, Part II (Paperback, 1st ed. 2019)
George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Daniela Ushizima, …
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R2,550
Discovery Miles 25 500
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Ships in 10 - 15 working days
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This book constitutes the refereed proceedings of the 14th
International Symposium on Visual Computing, ISVC 2019, held in
Lake Tahoe, NV, USA in October 2019. The 100 papers presented in
this double volume were carefully reviewed and selected from 163
submissions. The papers are organized into the following topical
sections: Deep Learning I; Computer Graphics I;
Segmentation/Recognition; Video Analysis and Event Recognition;
Visualization; ST: Computational Vision, AI and Mathematical
methods for Biomedical and Biological Image Analysis; Biometrics;
Virtual Reality I; Applications I; ST: Vision for Remote Sensing
and Infrastructure Inspection; Computer Graphics II; Applications
II; Deep Learning II; Virtual Reality II; Object
Recognition/Detection/Categorization; and Poster.
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Advances in Visual Computing - 14th International Symposium on Visual Computing, ISVC 2019, Lake Tahoe, NV, USA, October 7-9, 2019, Proceedings, Part I (Paperback, 1st ed. 2019)
George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Daniela Ushizima, …
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R1,696
Discovery Miles 16 960
|
Ships in 10 - 15 working days
|
This book constitutes the refereed proceedings of the 14th
International Symposium on Visual Computing, ISVC 2019, held in
Lake Tahoe, NV, USA in October 2019. The 100 papers presented in
this double volume were carefully reviewed and selected from 163
submissions. The papers are organized into the following topical
sections: Deep Learning I; Computer Graphics I;
Segmentation/Recognition; Video Analysis and Event Recognition;
Visualization; ST: Computational Vision, AI and Mathematical
methods for Biomedical and Biological Image Analysis; Biometrics;
Virtual Reality I; Applications I; ST: Vision for Remote Sensing
and Infrastructure Inspection; Computer Graphics II; Applications
II; Deep Learning II; Virtual Reality II; Object
Recognition/Detection/Categorization; and Poster.
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