Spedizione gratuita per ordini superiori a 69,99 euro.

Controllare lo stato dell'ordine

Entra a far parte di una comunità di amanti dei libri di tutto il mondo e ottieni numerosi vantaggi. Crea un account gratuito

Spedizione gratuita con Packeta per un prezzo superiore a 69.99 €

Corriere Bartolini 4.49 € Punto Poste 5.49 € Punto Poste 5.49 € Punto Bartolini 3.49 € Corriere DHL 6.99 € Corriere GLS 5.99 € Punto GLS 4.49 €

Contatto

Come acquistare

Aiuto

Il mio account

▸ Vuoto :-(

Spedizione gratuita per ordini superiori a 69,99 euro.

Real Time Video Processing and Object Detection on Mobile

Name: Real Time Video Processing and Object Detection on Mobile
Brand: LAP Lambert Academic Publishing
SKU: 16549353
Price: 33.59 EUR
Availability: InStock
Author: Pramod J. Deore
ISBN: 9783330082922

Pramod J. Deore

Shailaja Arjun Patil

Sunil B. Chaudhari

Lingua

Inglese

Libro In brossura

Codice Libristo: 16549353

Casa editrice LAP Lambert Academic Publishing, novembre 2016

As Smartphone is getting more potent, can do more superior stuffs that previous required a computer.... Descrizione completa

Codice Libristo: 16549353

82 b

33.59 €

Magazzino esterno Inviamo tra 5-8 giorni

Fino a 30 giorni per il reso

I clienti hanno acquistato anche

Drame Familial Sachita Samboo

In brossura

64.39 €

AYUDA AMERICANA AL EJERCITO DE TIERRA LUCAS MOLINA FRANCO

Libro

14.69 €

Die Stunde der toten Augen Harry Thürk

In brossura

14.09 €

Domek pro dva Kathryn Taylor

Rigido

5.09 €

Du Traitement Homoeopathique Des Maladies Des Femmes... Gottlieb Heinrich Georg Jahr

Rigido

40.69 €

Immanuel Kant Johannes von Kries

In brossura

27.99 €

Поехали! Все, что нужно знать начинающим водителям С.А. Моряхин

In brossura

25.49 €

Die strafbefreiende Selbstanzeige im Steuerrecht im Lichte der erneuten Verschärfungen zum 01.01.2015 Maja G.

In brossura

14.19 €

Debajo de la lengua, tú: sensualidad y placer más allá de los versos Clarice Muller

In brossura

7.99 €

Pier Giorgio Frassati. «Non vivacchiare ma vivere» Roberto Falciola

In brossura

14.99 €

Desenvolvimento da iluminacao publica num ambiente urbano moderno Uvarov Vladimir Uvarov

In brossura

57.69 €

Der Italische Bund Unter ROMs Hegemonie: Staatsrechtliche Und Statistische Forschungen (1880) Julius Beloch

In brossura

29.89 €

Pandectes De Justinien Robert Joseph Pothier

In brossura

27.89 €

Mahmoud Le Gasnevide, Histoire Orientale, Fragment Traduit de l'Arabe Avec Des Notes MELON-J-F

In brossura

19.99 €

Manual Léxico-comercial de lengua china.: Habilidads sociales B2 Terol Rojo

In brossura

12.59 €

Interdependenzen zwischen Bevoelkerungswachstum, Armut und Umweltzerstoerung Carolin Buck

In brossura

17.89 €

FrO Martin Prehn

In brossura

14.99 €

Agatha Raisin und der tote Gutsherr M. C. Beaton

In brossura

12.29 €

Beobachtungsmethoden Karl-Heinz Renner

In brossura

14.99 €

Die Literatur und die Götter Roberto Calasso

Rigido

22.19 €

As Smartphone is getting more potent, can do more superior stuffs that previous required a computer. For employing the high processing power of Smartphone is mobile computer vision, the ability for a device to capture; process; analyze; under- standing of images. For mobile computer vision, Smartphone must be faster and real time. In this book three applications have been developed on an Android platform using OpenCV and in built core library with own implemented algorithms called as CamTest. Real Time video processing methods are applied to each video frame captured from Smartphone, that is running on an Android platform. Effi- ciency of two Android applications have been compared with respect to video frame processing rate and found that OpenCV performs faster than the CamTest. Real Time object detection in mobile computer vision on Android is complicated task as it requires high performance. We analyzed object detection algorithms such as Scale Invariant Feature Transform (SIFT), Speeded Up Feature Transform (SURF), Fea- tures from Accelerated Segment Test (FAST), Maximally Stable Extremal Regions (MSER), Oriented FAST and Rotated BRIEF (ORB), Binary Robust Independent.