State of the Art in Computer Graphics : Visualization and Modeling

Rogers, D. F. (editor); Earnshaw, P. A. (editor)

ISBN 10: 0387975608 / ISBN 13: 9780387975603

Published by Springer-Verlag New York, Incorporated, (1991)., New York, NY, U.S.A., 1991

About this Item

Near Fine. No Dust Jacket.

Seller Inventory # 010763

Bibliographic Details

• Title: State of the Art in Computer Graphics : Visualization and Modeling
• Publisher: Springer-Verlag New York, Incorporated, (1991)., New York, NY, U.S.A.
• Publication Date: 1991
• Language: English
• ISBN 10: 0387975608
• ISBN 13: 9780387975603
• Binding: Hardcover
• Edition: First Edition.
• Condition: Near Fine
• Seller catalogs:
  • Technology
  • Computing

About this title

Synopsis

Today one of the hardest parts of computer aided design or analysis is first modeling the design, then recording and verifying it. For example, a typical vehicle such as a tank, automobile, ship or aircraft might be composed of tens of thousands of individual parts. Many of these parts are composed of cylinders, flats, and simple conic curves and surfaces such as are amenable to modeling using a constructive solid geometry (CSG) approach. However, especially with the increasing use of composite materials, many parts are designed using sculp­ tured surfaces. A marriage of these two techniques in now critical to continued development of computer aided design and analysis. Further, the graphical user interfaces used in most modeling systems are at best barely adequate to the required task. Critical work on these interfaces is required to continue pushing back the frontiers. Similarly, once the design is modeled, how are the varied and diverse pieces stored, retrieved, and modified? How are physical interferences prevented or eliminated? Although considerable progress has been made, there are still more questions and frustrations than answers. One of the fundamental problems of the 1990s is and will continue to be modeling. The second problem is interpretation. With the ever increasing computational power available, our ability to generate data far exceeds our ability to interpret, understand, and utilize that data.