Boolean operations on polygon meshes /

Bibliographic Details
Main Author: Kitagawa De Leon, Midori
Other Authors: Allen, G. Donald (degree committee member.), McCormick, Bruce (degree committee member.), Smith, Kirby C. (degree committee member.)
Format: Thesis Book
Language:English
Published: 1993.
Subjects:
Online Access:Link to OAKTrust copy

MARC

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040 |a TXA  |b eng  |c TXA  |d OCLCQ  |d TXA 
035 |a (OCoLC)34309650 
049 |a TXAM 
099 |a 1993  |a Dissertation  |a K62 
100 1 |a Kitagawa De Leon, Midori. 
245 1 0 |a Boolean operations on polygon meshes / 
264 1 |c 1993. 
300 |a xix, 228 leaves :  |b illustrations ;  |c 28 cm 
336 |a text  |b txt  |2 rdacontent 
337 |a unmediated  |b n  |2 rdamedia 
338 |a volume  |b nc  |2 rdacarrier 
504 |a Includes bibliographical references. 
500 |a Vita. 
502 |b Ph. D.  |c Texas A & M University  |d 1993 
500 |a "Major subject: Architecture." 
520 3 |a Geometric modeling studies how to construct and represent shapes of objects. The shape of a physical object can be measured and represented as a geometric model on the computer. The shape of a non-existing object can be designed and represented as a geometric model on the computer. Algorithms for Boolean operations construct complex models from simpler models. This research presents a simple, robust, and fast algorithm for Boolean operations on polygon meshes. The proposed algorithm systematically classifies the relationship of two intersecting polygons into four types and subdivides intersecting polygons by using one of three methods. Singular intersections are defined and a method which locally classifies polygons in singular intersections is documented. As well as 2-manifold objects, certain types of non-2-manifold objects are acceptable as input. The robustness of the algorithm is graphically illustrated by resulting objects constructed by an implementation of the algorithm. The binary index list subdivision methods (BILS methods) presented here for geometric search are simple but powerful: the methods allow the Boolean operation algorithm to have computational time which is linear in the size of the input. The BILS search methods are described and experimental evidence is presented to show that the complexity of the algorithm is linear in the size of the input. 
650 4 |a Major architecture. 
655 7 |a Academic theses  |2 lcgft 
700 1 |a Kirchman, Susan,  |e degree supervisor. 
700 1 |a Linehan, Thomas,  |e degree supervisor. 
700 1 |a Allen, G. Donald,  |e degree committee member. 
700 1 |a McCormick, Bruce,  |e degree committee member. 
700 1 |a Smith, Kirby C.,  |e degree committee member. 
710 2 |a Texas A & M University,  |e degree granting institution. 
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