2026-09-20T09:22:42Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/854402026-06-06T00:49:11Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Antonio Torralba.
Lee, Erika, M. Eng. Massachusetts Institute of Technology
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2014-03-06T15:42:10Z
2014-03-06T15:42:10Z
2013
2013
http://hdl.handle.net/1721.1/85440
870683582
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2013.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 41-42).
In this thesis, my goal is to determine a rectangular 3D cuboid that outlines the boundaries of a cuboid-shaped object shown in an image. The position of the corners of each cuboid are manually labeled, or annotated, in a 2D color image. Given the color image, the labels, and a 2D depth image of the same scene, an algorithm extrapolates a cuboid's 3D position, orientation, and size characteristics by minimizing two quantities: the deviation of each estimated corner's projected position from its annotated position in 2D space and the distance from each estimated surface to the observed points associated with that surface in 3D space. I found that this approach successfully estimated the 3D boundaries of a cuboid object for 72.6% of the cuboids in a data set of 1,089 manually-labeled cuboids in images taken from the SUN3D database.
by Erika Lee.
M.Eng.
42 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.
3D reconstruction of cuboid-shaped objects from labeled images
Three-D reconstruction of cuboid-shaped objects from labeled images
Three-dimensional reconstruction of cuboid-shaped objects from labeled images
Thesis
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<Abstract>In this thesis, my goal is to determine a rectangular 3D cuboid that outlines the boundaries of a cuboid-shaped object shown in an image. The position of the corners of each cuboid are manually labeled, or annotated, in a 2D color image. Given the color image, the labels, and a 2D depth image of the same scene, an algorithm extrapolates a cuboid's 3D position, orientation, and size characteristics by minimizing two quantities: the deviation of each estimated corner's projected position from its annotated position in 2D space and the distance from each estimated surface to the observed points associated with that surface in 3D space. I found that this approach successfully estimated the 3D boundaries of a cuboid object for 72.6% of the cuboids in a data set of 1,089 manually-labeled cuboids in images taken from the SUN3D database.</Abstract>
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