Name: embedded computer vision (en Inglés)
Price: 318.68 PEN
Availability: InStock
Author: Kisacanin, Branislav ; Bhattacharyya, Shuvra S. ; Chai, Sek
ISBN: 9781849967761

portada embedded computer vision (en Inglés)

Formato

Libro Físico

Ilustrado por

Branislav Kisacanin

Shuvra S. Bhattacharyya

Sek Chai

Editorial

Springer

Autor

Kisacanin, Branislav ; Bhattacharyya, Shuvra S. ; Chai, Sek

Año

2010

Idioma

Inglés

N° páginas

284

Encuadernación

Tapa Blanda

Dimensiones

23.4 x 15.6 x 1.7 cm

Peso

0.44 kg.

ISBN

1849967768

ISBN13

9781849967761

Categorías

Aplicaciones gráficas y multimedia
Reconocimiento de formas
Visión por ordenador
Procesamiento de imágenes

embedded computer vision (en Inglés)

Branislav Kisacanin (Ilustrado por) · Shuvra S. Bhattacharyya (Ilustrado por) · Sek Chai (Ilustrado por) · Springer · Tapa Blanda

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Reseña del libro "embedded computer vision (en Inglés)"

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.