This handbook oers a fresh approach to computer vision. The whole
vision process from image formation to measuring, recognition, or reacting
is regarded as an integral process. Computer vision is understood
as the host of techniques to acquire, process, analyze, and understand
complex higher-dimensional data from our environment for
scientic and technical exploration.
In this sense the handbook takes into account the interdisciplinary
nature of computer vision with its links to virtually all natural sciences
and attempts to bridge two important gaps. The rst is between modern
physical sciences and the many novel techniques to acquire images.
The second is between basic research and applications. When a reader
with a background in one of the elds related to computer vision feels
he has learned something from one of the many other facets of computer
vision, the handbook will have fullled its purpose.
The handbook comprises three volumes. The rst volume, Sensors
and Imaging, covers image formation and acquisition. The second volume,
Signal Processing and Pattern Recognition, focuses on processing
of the spatial and spatiotemporal signal acquired by imaging sensors.
The third volume, Systems and Applications, describes how computer
vision is integrated into systems and applications.