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A Generative Theory of Shape (Lecture Notes in Computer Science)
 
 
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A Generative Theory of Shape (Lecture Notes in Computer Science) [Paperback]

Michael Leyton (Author)

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Book Description

November 28, 2001 3540427171 978-3540427179 1
The purpose of the book is to develop a generative theory of shape that has two properties regarded as fundamental to intelligence - maximizing transfer of structure and maximizing recoverability of the generative operations. These two properties are particularly important in the representation of complex shape - which is the main concern of the book. The primary goal of the theory is the conversion of complexity into understandability. For this purpose, a mathematical theory is presented of how understandability is created in a structure. This is achieved by developing a group-theoretic approach to formalizing transfer and recoverability. To handle complex shape, a new class of groups is developed, called unfolding groups. These unfold structure from a maximally collapsed version of itself. A principal aspect of the theory is that it develops a group-theoretic formalization of major object-oriented concepts such as inheritance. The result is a mathematical language that brings interoperability into the very foundations of geometry.

The book gives extensive applications of the theory to CAD/CAM, human and machine vision, robotics, software engineering, and physics. In CAD, lengthy chapters are presented on mechanical and architectural design. For example, using the theory of unfolding groups, the book works in detail through the main stages of mechanical CAD/CAM: part-design, assembly and machining. And within part-design, an extensive algebraic analysis is given of sketching, alignment, dimensioning, resolution, editing, sweeping, feature-addition, and intent-management. In robotics, several levels of analysis are developed for manipulator structure and kinematics. In software, a new theory is given of the principal factors such as text and class structure, object creation and modification, as well as inheritance and hierarchy prediction. In physics, a new theory is given of the conservation laws, and motion decomposition theorems in classical and quantum mechanics.

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"This book is intended for a general scientifically interested audience a ] . The author develops a generative theory of shape along two principles fundamental to intelligence a" maximization of transfer and maximization of recoverability. He proceeds by using an algebraically flavoured approach characterizing features as symmetry groups while the addition of features corresponds to group extension. a ] The generative theory is used in several application areas like visual perception, robotics and computer-aided geometric design." (GA1/4nter Landsman, Zentralblatt MATH, Vol. 1012, 2003)


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Inside This Book (learn more)
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
ruled cylinder, hyperplane group, alignment kernel, rotated parallelogram, projective simplex, single symmetry group, wreath structure, coincident copies, generative geometry, wreath group, major rectangle, resolved sketch, sextuple meter, regular wreath product, hyperoctahedral group, canonical plan, unfolding groups, fiber copy, automorphic action, generative history, highest control group, canonical unfoldings, external inference, generative sequence, transferred version
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Asymmetry Principle, Externalization Principle, Studio Max, Architectural Desktop, Interaction Principle, Direct Unfolding Cycle, History Minimization Principle, History Symmetrization Principle, Galilean Lie, Klein's Erlanger, Mechanical Desktop, Symmetry-to-Trace Conversion Principle, Product-Hierarchy Table, Against the Erlanger Program, New York, Trace Property
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