Handbook of Computer Vision and Applications, Volume: 1 Sensors and Imaging

This three-volume set is a remarkable collection of articles on computer vision and image processing. Although written by a diverse collection of experts, the chapters have been superbly edited to achieve a coherent presentation, with consistent notation and perspective throughout. Spanning most areas in the field of computer vision, its applications and its foundations, most of the individual chapters are self-contained. The editors have also added well-written chapters to provide a solid base of introductory material. Computer vision is an interdisciplinary field of research with many industrial and scientific domains of application. Its foundations are drawn from physics, signal processing, applied mathematics, computer science, electrical engineering, and neuroscience. Applications include mobile robotics, medical image analysis, human-computer interaction, and scientific areas for which computer vision image analysis techniques are becoming a key source of scientific data. Indeed, one of the great strengths of this three-volume set is its focus on both the theoretical foundations of the field and the applications of the techniques. The first volume introduces the principles of imaging, which editors of this book are in a unique position to produce. These chapters include detailed introductions to optics, radiometry, reflectance, illumination sources, and sensor technologies. The handbook also extends this introduction to several other imaging modalities, including 3d range imaging, infrared imaging, MRI, fluoroscopic imaging, and electron microscopy. These chapters provide a thorough, accessible treatment of imaging that is unparalleled in any book on computer vision or image processing. Volume one of the handbook constitutes a definitive and coherent treatment of radiometry, imaging and sensors.

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