| Computer Vision and Applications, Concise Edition, offers a fresh approach to computer vision by regarding the whole process from image formation to measuring, recognition, or reacting as an integral process. Computer vision is understood as the host of techniques used to acquire, process, analyze, and understand complex, higher-dimensional data from the environment for scientific and technical exploration. The book takes into account the interdisciplinary nature of computer vision with its links to virtually all natural sciences and attempts to bridge the gap between basic research and applications.
Based on the highly successful three-volume reference Handbook of Computer Vision and Applications, this concise edition consists of three parts: Sensors and Imaging, covering image formation and acquisition; Signal Processing and Pattern Recognition, focussing on processing of the spatial and spatio-temporal signals acquired by imaging sensors; and an Application Gallery illustrating a collection of application examples of computer vision from both industry and science.
Key Features:
* Bridges the gap between theory and practical applications
* Covers modern concepts in computer vision as well as modern developments in imaging sensor technology
* Presents a unique interdisciplinary approach covering different areas of modern science
* An accompanying CD-ROM provides full text with hyperlinks for quick searching and browsing along with reference material, interactive software components, code examples, image material, full-color figures, and references to Internet sources.
Computer Vision and Applications, is the perfect basic reference for graduate students, scientists, and practitioners in industry who wish to gain a broader understanding of the subject and who are interested in discovering how computer vision concepts can be applied to various areas of scientific and technical research. The advanced reader will find detailed information on selected topics and references to extended subjects. |
