Computer-aided extraction of morphological information from architectural drawings.
dc.contributor.author | Terzidis, Constantinos A. | en_US |
dc.contributor.advisor | Vakalo, Emmanuel-George | en_US |
dc.date.accessioned | 2014-02-24T16:19:58Z | |
dc.date.available | 2014-02-24T16:19:58Z | |
dc.date.issued | 1994 | en_US |
dc.identifier.other | (UMI)AAI9501048 | en_US |
dc.identifier.uri | http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:9501048 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/104211 | |
dc.description.abstract | Along with the popularization of Computer-Aided Design (CAD), it has been becoming increasingly necessary and desirable for a computer to recognize engineering drawings and diagrams. Methods exist for inputting and recognizing such engineering drawings and diagrams. This is primarily because they are drawn to conform to specific standards. In contrast, architectural drawings are not prepared in accordance to existing standards. Hence, the problem of reading, recognizing, and extracting morphological information from them automatically remains unsolved. It is this problem that this study focuses on. The research undertaken by this author has three distinct but interrelated objectives. The first objective is to design, implement, and test a computer-based framework which allows its user to extract automatically the geometric and/or architectural structures of a two-dimensional plan. The second objective entails designing, implementing, and testing a computer-based framework which may be employed to compare the geometric and/or architectural structures of individual plans or classes of such plans. The third objective is to integrate the two aforementioned frameworks. Computer vision techniques are used to investigate, analyze, and compare plans of buildings from a morphological standpoint. Such techniques can contribute toward detecting differences or similarities between individual plans. Their ability to search for, combine, and compare morphological information is both parsimonious and effective. Predicated on the assumption that designers derive knowledge from past solutions to form-making problems, this study focuses on the methods by which the morphological information which is contained in building plans can be extracted automatically and entered in a knowledge base. Conceptually, this is part of a larger project which entails investigating how knowledge can be incorporated in a CAD system in a manner which aids and supports the form-making process. Conceivably, the approach of this work is, wholly or partially, applicable to the problem of extracting useful information from graphic representations used in a variety of disciplines (e.g., engineering). | en_US |
dc.format.extent | 208 p. | en_US |
dc.subject | Architecture | en_US |
dc.subject | Computer Science | en_US |
dc.title | Computer-aided extraction of morphological information from architectural drawings. | en_US |
dc.type | Thesis | en_US |
dc.description.thesisdegreename | PhD | en_US |
dc.description.thesisdegreediscipline | Architecture | en_US |
dc.description.thesisdegreegrantor | University of Michigan, Horace H. Rackham School of Graduate Studies | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/104211/1/9501048.pdf | |
dc.description.filedescription | Description of 9501048.pdf : Restricted to UM users only. | en_US |
dc.owningcollname | Dissertations and Theses (Ph.D. and Master's) |
Files in this item
Remediation of Harmful Language
The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.
Accessibility
If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.