Atnaujintas knygų su minimaliais defektais pasiūlymas! Naršykite ČIA >>

3-D Reconstruction with Feature Level Fusion: Using Range and Intensity Images of an Object

-15% su kodu: ENG15
72,18 
Įprasta kaina: 84,92 
-15% su kodu: ENG15
Kupono kodas: ENG15
Akcija baigiasi: 2025-03-03
-15% su kodu: ENG15
72,18 
Įprasta kaina: 84,92 
-15% su kodu: ENG15
Kupono kodas: ENG15
Akcija baigiasi: 2025-03-03
-15% su kodu: ENG15
2025-02-28 84.9200 InStock
Nemokamas pristatymas į paštomatus per 11-15 darbo dienų užsakymams nuo 20,00 

Knygos aprašymas

In recent years, the demand for constructing 3-D models of various objects has been steadily growing due to its wide range applications. Images from a single source provide less information in the output model. Therefore, there is a pressing need to go for multimodal image fusion producing a complete 3-D model of the object. Range and intensity images are complementary in nature. Fusion of these two images provides one composite image with more accurate and reliable information, which is not possible with either source in isolation. This book is a step towards feature level fusion of range and intensity image data of an object. The work is divided mainly into three parts. Initially, a 3-D model of the object is reconstructed from the acquired range images. Then, structural features are extracted from the 3-D model and intensity image of the object. Finally, two novel techniques have been introduced for the fusion of extracted features from both the modalities. The book will, therefore, be of importance to academics, researchers and practitioners in a wide range of disciplines that require 3-D reconstruction as well as image fusion.

Informacija

Autorius: Umesh Chandra Pati, Pranab Kumar Dutta, Alok Barua,
Leidėjas: LAP LAMBERT Academic Publishing
Išleidimo metai: 2010
Knygos puslapių skaičius: 124
ISBN-10: 3838327187
ISBN-13: 9783838327181
Formatas: 220 x 150 x 8 mm. Knyga minkštu viršeliu
Kalba: Anglų

Pirkėjų atsiliepimai

Parašykite atsiliepimą apie „3-D Reconstruction with Feature Level Fusion: Using Range and Intensity Images of an Object“

Būtina įvertinti prekę