Computer vision is the science and technology of making machines that see.
It is concerned with the theory, design and implementation of algorithms that
can automatically process visual data to recognize objects, track and recover
their shape and spatial layout.
The International Computer Vision Summer School - ICVSS was established
in 2007 to provide both an objective and clear overview and an in-depth
analysis of the state-of-the-art research in Computer Vision. The courses
are delivered by world renowned experts in the field, from both academia
and industry, and cover both theoretical and practical aspects of real Computer
Vision problems. The school is organized every year by University
of Cambridge (Computer Vision and Robotics Group) and University of
Catania (Image Processing Lab). Different topics are covered each year. A
summary of the past Computer Vision Summer Schools can be found at:
This edited volume contains a selection of articles covering some of the
talks and tutorials held during the first two editions of the school on topics
such as Recognition, Registration and Reconstruction. The chapters provide
an in-depth overview of these challenging areas with key references to the
Computer Vision: A Modern Approach
This extraordinary book gives a uniquely modern view of computer vision. Offering a general survey of the whole computer vision enterprise along with sufficient detail for readers to be able to build useful applications, this book is invaluable in providing a strategic overview of computer vision. With extensive use of probabalistic...
Handbook of Biometrics Biometric recognition, or simply Biometrics, is a rapidly evolving field with applications ranging from accessing one's computer to gaining entry into a country. Biometric systems rely on the use of physical or behavioral traits, such as fingerprints, face, voice and hand geometry, to establish the identity of an individual. The deployment of... 3-D Shape Estimation and Image Restoration: Exploiting Defocus and Motion-Blur "This book presents a framework for estimating three-dimensional (3D) shapes from defocused and motion-blurred images. The book systematically describes various problems involved in estimating 3D shapes, and provides solutions to these problems… The book is well-written, and is equipped with Matlab code that implements the estimators...
Computational Line Geometry (Mathematics and Visualization)
The geometry of lines occurs naturally in such different areas as sculptured surface machining, computation of offsets and medial axes, surface reconstruction for reverse engineering, geometrical optics, kinematics and motion design, and modeling of developable surfaces. This book covers line geometry from various viewpoints and aims towards...
Machine Learning for Vision-Based Motion Analysis: Theory and Techniques
Techniques of vision-based motion analysis aim to detect, track, identify, and generally understand the behavior of objects in image sequences. With the growth of video data in a wide range of applications from visual surveillance to human-machine interfaces, the ability to automatically analyze and understand object motions from video...
Depth Map and 3D Imaging Applications: Algorithms and Technologies
This book has three editors, and all of us are involved in image processing and computer vision research.
We have contributed to the 3D imaging research, especially in the field of passive optical 3D shape
recovery methods. Over the last decade, significant progress had been made in 3D imaging research. As
a result, 3D imaging...