Name: Vision Chips (en Inglés)
Price: 968.91 PEN
Availability: InStock
Author: Moini, Alireza
ISBN: 9781461374022

Formato

Libro Físico

Autor

Alireza Moini

Editorial

Springer

Idioma

Inglés

N° páginas

300

Encuadernación

Tapa Blanda

Dimensiones

23.4 x 15.6 x 1.7 cm

Peso

0.45 kg.

ISBN13

9781461374022

Categorías

Ingeniería eléctrica
Aplicaciones gráficas y multimedia
Reconocimiento de formas
Visión por ordenador

Vision Chips (en Inglés)

Alireza Moini (Autor) · Springer · Tapa Blanda

Libro Nuevo

S/ 968,91

S/ 1.937,82

Ahorras: S/ 968,91

50% descuento

Envío normal

Origen: Estados Unidos (Costos de importación incluídos en el precio)

Se enviará desde nuestra bodega entre el Lunes 22 de Julio y el Lunes 05 de Agosto.

Lo recibirás en cualquier lugar de Perú entre 2 y 5 días hábiles luego del envío.

Reseña del libro "Vision Chips (en Inglés)"

This chapter presents a set of introductory material, which in addition to providing a general view on the topic, highlights the importance of research in this area. It also presents a short history of the design of smart vision sensors, and points out some of the fundamental issues in the design of such sensors. 1. 1 A General Overview Machine vision is one of the main branches of artificial intelligence. The richness of information present in images makes them the first choice as an input to an artificial system which tries to interact with its environment. A large proportion of the brain of many advanced species is dedicated to visual information processing, which illustrates the importance of visual information in biological systems. Biological visual systems have evolved over millions of years, and each specie has developed a specialized visual system tailored for the essential tasks of survival, such as catching a prey, or escaping a predator. Implementing electronic hardware for image processing, therefore, may benefit from the underlying fundamental aspects of biological vision, though in no respect should this be regarded as a solid framework for electronic vision systems. Traditionally, computer vision algorithms are performed on images captured by conventional cameras, and processing is accomplished by means of general purpose digital computers. More advanced systems utilize dedicated hardware to speed up the processing stage.