A material segmentation and classification system
Name
871040150-MIT.pdf
Description
Full printable version
Size
6.34 MB
Format
Adobe PDF
Checksum (MD5)
cf1e59cb9b6c6efce401110e85b75d86
Author(s)
Wong, Jennifer L
Advisor(s)
Edward H. Adelson and James R. Bruce.
Alternative Title
Material classification and segmentation system
Date Issued
2013
Publisher
Massachusetts Institute of Technology
Abstract
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.
Description
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).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
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