Machine perception requires the digitization of physically-sensed
signals. During the last ten years, digital range images have become
available from a variety of sensors. This book is devoted to the problem
of range image understanding with computers. Its aims are to develop a
theoretical framework, devise appropriate algorithms, and demonstrate a
software implementation of those algorithms that will confirm the
usefulness of surfaces in range image understanding. It will be of
interest to the researcher studying the theoretical concepts of image
understanding, as well as the engineer who wants to implement these
concepts in practical applications.