2026-09-19T01:44:20Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/855232026-06-06T00:55:18Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Edward H. Adelson and James R. Bruce.
Wong, Jennifer L
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2014-03-06T15:48:09Z
2014-03-06T15:48:09Z
2013
2013
http://hdl.handle.net/1721.1/85523
871040150
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2013.
Cataloged from PDF version of thesis.
Includes bibliographical references (page 75).
In this thesis, I developed a material segmentation and classification system that takes in images of an object and identifies the material composition of the object's surface. The 3D surface is first segmented into regions that likely contain the same material, using color as a heuristic measure. The material classification of each region is then based on the cosine lobe model. The cosine lobe model is our adopted reflectance model, which allows for a simple approximation of a material's reflectance properties, which then serves as the material's unique signature.
by Jennifer L. Wong.
M.Eng.
75 pages
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.
A material segmentation and classification system
Material classification and segmentation system
Thesis
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