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Language And Learning For Robots by Colleen Crangle and Patrick Suppes, Lecture Notes No 41, CSLI Publications, Stanford University, 276 pages includingcontents and index (£16.95)

discussed throughout the text. The reader is introduced to the concept of the use of affine techniques, in particular Chapter 3 leads the reader through the fundamental principles of the affine camera and affine structures. A well illustrated and clear demonstration of the methods needed is provided. The authors approach to the problem of providing a coherent framework for image analysis is clearly demonstrated through the use of practical recovery of 3D image information. New algorithms are proposed and illustrated to compute the affine structures within an image. These are then demonstrated through a comprehensive series of tests using a wide range of image sequences. Immunity to noise is indicated by the techniques employed, an important feature for successful image analysis. Each chapter of the book is succinctly concluded and a brief overall conclusion to the work suggests areas where future work may lie. The work is presented in an intelligible and objective manner and it is clear why this dissertation was selected for inclusion in this excellent series. It should prove a valuable aid to those beginning research in the field of robotic machine vision and image analysis. Not only from the point of its superb contents, but also the valuable Bibliography that can assist those starting out along the long path of knowledge acquisition in new territories.