Discrete Relaxation Techniques

Relaxation techniques are iterative methods of solving systems of equations by successive approximations that lead ultimately to a minimization of the difference between the solution and "reality." One important application of this method lies in image processing, when, given incomplete, ambiguous information, a computer attempts to determine the nature of an object and its orientation in three dimensions. An invaluable resource for computer scientists and electrical engineers, this book provides a firm foundation in these techniques and discusses its applications in computer vision and artificial intelligence.