Scientists and science fiction writers have long been fascinated by the possibility of building intelligent machines and the capability of understanding the visual world is a prerequisite for such a machine. This book speaks to the notable research progress being conducted and brings together the important problem areas where computer vision is already providing solutions. Due to recent progress in the computer field, economical and flexible use of computer images is pervasive. Computing with images is no longer just for the realm of the sciences, but also for the arts and social sciences and even for hobbyists. This book should serve an established and growing audience including those interested in multimedia, art and design, geographic information systems, and image databases, in addition to the traditional areas of automation, image science, medical imaging, remote sensing, and computer cartography.
Computer Vision presents the necessary theory and techniques for students and practitioners who will work in fields where significant information must be extracted automatically from images. It will be a useful resource automatically from images. It will be a useful resource book for professionals and a core text for both undergraduate and beginning graduate computer vision and imaging courses.
This well-illustrated guide presents the theory and techniques for students and practitioners. Using image databases and applications from many fields as supporting material the topics covered include: imaging and image representation, binary image analysis, pattern recognition, filtering and enhancing, color and shading, texture, content-based image retrieval, motion from 2D image sequences, image segmentation, matching in 2D, perceiving 3D from 2D, 3D sensing and object pose computation, 3D models and matching, virtual reality, and case studies. The authors both teach computer science and engineering, Shapiro at the U. of Washington, Stockman at Michigan State U. Annotation c. Book News, Inc., Portland, OR (booknews.com)