Computer Vision

Author: George Stockman

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.

• Topics include image databases an virtual and augmented reality in addition to classical topics.
• Offers a complete view of two real-world systems that use computer vision.
• Contains applications from industry, medicine, land use, multimedia, and computer graphics.
• Includes over 250 exercises and programming projects, 48 separately defined algorithms, and 360 figures.
• The companion website features include image archive, sample

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)