| dc.contributor.advisor | Randall Davis. | en_US |
| dc.contributor.author | Oltmans, Michael (Michael David), 1975- | en_US |
| dc.contributor.other | Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. | en_US |
| dc.date.accessioned | 2008-02-27T20:38:09Z | |
| dc.date.available | 2008-02-27T20:38:09Z | |
| dc.date.copyright | 2007 | en_US |
| dc.date.issued | 2007 | en_US |
| dc.identifier.uri | http://hdl.handle.net/1721.1/40318 | |
| dc.description | Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007. | en_US |
| dc.description | This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. | en_US |
| dc.description | Includes bibliographical references (p. 89-94). | en_US |
| dc.description.abstract | Hand drawn sketches are an important part of the early design process and are an important aspect of creative design. They are used in many fields including electrical engineering, software engineering and web design. Recognizing shapes in these sketches is a challenging task due to the imprecision with which they are drawn. We tackle this challenge with a visual approach to recognition. The approach is based on a representation of a sketched shape in terms of the visual parts it is made of. By taking this part-based visual approach we are able to recognize shapes that are extremely difficult to recognize with current sketch recognition systems that focus on the individual strokes. | en_US |
| dc.description.statementofresponsibility | by Michael Oltmans. | en_US |
| dc.format.extent | 94 p. | en_US |
| dc.language.iso | eng | en_US |
| dc.publisher | Massachusetts Institute of Technology | en_US |
| dc.rights | M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. | en_US |
| dc.rights.uri | http://dspace.mit.edu/handle/1721.1/7582 | |
| dc.subject | Electrical Engineering and Computer Science. | en_US |
| dc.title | Envisioning sketch recognition : a local feature based approach to recognizing informal sketches | en_US |
| dc.type | Thesis | en_US |
| dc.description.degree | Ph.D. | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | |
| dc.identifier.oclc | 191825240 | en_US |
