2026-09-18T21:47:40Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1195492026-06-06T00:49:13Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
William T. Freeman.
Ye, Vickie
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2018-12-11T20:39:43Z
2018-12-11T20:39:43Z
2018
2018
http://hdl.handle.net/1721.1/119549
1076273089
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.
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 81-83).
In this thesis, we explore new imaging systems that arise from everyday occlusions and shadows. By modeling the structured shadows created by various occlusions, we are able to recover hidden scenes. We explore three such imaging systems. In the first, we use a wall corner to recover one-dimensional motion in the hidden scene behind the corner. We show experimental results using this method in several natural environments. We also extend this method to be used in other applications, such as for automotive collision avoidance systems. In the second, we use doorways and spheres to recover two-dimensional images of a hidden scene behind the occlusions. We show experimental results of this method in simulations and in natural environments. Finally, we present how to extend this approach to infer a 4D light field of a hidden scene from 2D shadows cast by a known occluder. Using the shadow cast by a real house plant, we are able to recover low resolution light fields with different levels of texture and parallax complexity.
by Vickie Ye.
M.Eng.
83 pages
eng
Massachusetts Institute of Technology
MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science.
Accidental cameras : creating images from shadows
Creating images from shadows
Thesis
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<Abstract>In this thesis, we explore new imaging systems that arise from everyday occlusions and shadows. By modeling the structured shadows created by various occlusions, we are able to recover hidden scenes. We explore three such imaging systems. In the first, we use a wall corner to recover one-dimensional motion in the hidden scene behind the corner. We show experimental results using this method in several natural environments. We also extend this method to be used in other applications, such as for automotive collision avoidance systems. In the second, we use doorways and spheres to recover two-dimensional images of a hidden scene behind the occlusions. We show experimental results of this method in simulations and in natural environments. Finally, we present how to extend this approach to infer a 4D light field of a hidden scene from 2D shadows cast by a known occluder. Using the shadow cast by a real house plant, we are able to recover low resolution light fields with different levels of texture and parallax complexity.</Abstract>
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