2026-09-20T08:43:49Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/355952022-01-13T07:54:29Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Randall Davis.
Cates, Sonya J
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2007-01-10T16:45:16Z
2007-01-10T16:45:16Z
2006
2006
http://hdl.handle.net/1721.1/35595
74904183
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2006.
Includes bibliographical references (p. 48-49).
This thesis presents methods for improving sketch understanding, without knowledge of a domain or the particular symbols being used in the sketch, by recognizing common sketch primitives. We address two issues that complicate recognition in its early stages. The first is imprecision and inconsistencies within a single sketch or between sketches by the same person. This problem is addressed with a graphical model approach that incorporates limited knowledge of the surrounding area in the sketch to better decide the intended meaning of a small piece of the sketch. The second problem, that of variation among sketches with different authors, is addressed by forming groups from the authors in training set. We apply these methods to the problem of finding corners, a common sketch primitive, and describe how this can translate into better recognition of entire sketches. We also describe the collection of a data set of sketches.
by Sonya J. Cates.
S.M.
49 p.
1913128 bytes
2032094 bytes
application/pdf
application/pdf
eng
Massachusetts Institute of Technology
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.
http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science.
Using context to resolve ambiguity in sketch understanding
Thesis
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