3-D Reconstruction with Feature Level Fusion

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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.

Autorentext

Umesh C. Pati, PhD: Received PhD in Electrical Engg. from Indian Institute of Technology, Kharagpur, India. Associate Professor in Dept. of Electronics and Communication Engg., National Institute of Technology, Rourkela, India. Pranab K. Dutta, PhD and Alok Barua, PhD: Both are Professors in Dept. of Electrical Engg., IIT, Kharagpur, India.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783838327181
    • Genre Elektrotechnik
    • Sprache Englisch
    • Anzahl Seiten 124
    • Größe H220mm x B150mm x T8mm
    • Jahr 2010
    • EAN 9783838327181
    • Format Kartonierter Einband
    • ISBN 3838327187
    • Veröffentlichung 14.09.2010
    • Titel 3-D Reconstruction with Feature Level Fusion
    • Autor Umesh Chandra Pati , Pranab Kumar Dutta , Alok Barua
    • Untertitel Using Range and Intensity Images of an Object
    • Gewicht 203g
    • Herausgeber LAP LAMBERT Academic Publishing

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