2026-09-19T22:20:39Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1006392026-06-06T00:55:33Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
John Leonard.
Salvato, Michael (Michael R.)
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2016-01-04T20:01:10Z
2016-01-04T20:01:10Z
2015
2015
http://hdl.handle.net/1721.1/100639
933234704
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2015.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 57-61).
We present a novel method for creating high-resolution 3D reconstructions using RGB-D cameras, such as the Microsoft Kinect. We demonstrate how such a technique can be used both for large scale mapping and high-resolution object detection. Our work consists of two core contributions. First, we present an algorithm to generate 3D reconstructions of arbitrary resolution, up to that of the limitations of the camera, with a linear increase in computation time as a function of resolution. We the build upon this method to provide a general infrastructure for scanning regions of variable shape with variable resolution across the scanned regions. We then show quantitative improvements in resolution in a virtual environment, show qualitative improvements in resolution through images, and provide runtime performance details.
by Michael Salvato.
M.Eng.
61 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.
Multi-volume high resolution RGB-D mapping with dynamic volume placement
Thesis
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