3D Imaging for Safety and Security 3D Imaging for Safety and Security
Book 35 - Computational Imaging and Vision

3D Imaging for Safety and Security

Andreas Koschan and Others
    • 84,99 €
    • 84,99 €

Publisher Description

The past decades have seen significant improvements in 3D imaging where the related techniques and technologies have advanced to a mature state. These exciting developments have sparked increasing interest in industry and academia in the challenges and opportunities afforded by 3D sensing. As a consequence, the emerging area of safety and security related imaging incorporates these important new technologies beyond the limitations of 2D image processing. This book is so far the first that covers the current state of the art in 3D imaging for safety and security. It reports about selected contributions given at the “Workshop on Advanced 3D Imaging for Safety and Security” held in conjunction with the International Conference on Computer Vision and Pattern Recognition CVPR 2005, June 2005, San Diego, CA. The workshop brought together pioneering academic and industrial researchers in the field of computer vision and image analysis. Special attention was given to advanced 3D imaging technologies in the context of safety and security applications. Comparative evaluation studies showing advantages of 3D imaging over traditional 2D imaging for a given computer vision or pattern recognition task were emphasized. Moreover, additional experts in the field of 3D imaging for safety and security were invited by the editors for a contribution to this book. The book is structured into two parts, each containing five or six chapters on (1) Biometrics and (2) Safety and Security Applications.

GENRE
Computing & Internet
RELEASED
2007
30 June
LANGUAGE
EN
English
LENGTH
324
Pages
PUBLISHER
Springer Netherlands
SIZE
13.2
MB

Other Books in This Series

Human Motion Human Motion
2007
Medial Representations Medial Representations
2008
The Theory of the Moiré Phenomenon The Theory of the Moiré Phenomenon
2009
Natural Image Statistics Natural Image Statistics
2009
Computer Vision Using Local Binary Patterns Computer Vision Using Local Binary Patterns
2011
Mathematical Methods for Signal and Image Analysis and Representation Mathematical Methods for Signal and Image Analysis and Representation
2012