An Invitation to 3-D Vision: From Images to Geometric Models (Interdisciplinary Applied Mathematics, 26)

Endowing machines with a sense of vision has been a dream of scientists and engineers alike. This book addresses a central problem in computer vision--how to recover 3-D structure and motion from a collection of 2-D images--using techniques drawn mainly from linear algebra and matrix theory. The book also covers relevant aspects of image formation, basic image processing, and feature extraction. The authors bridge the gap between theory and practice by providing step-by-step instructions for the implementation of working vision algorithms and systems.