<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-19T10:47:53Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/121655" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/121655</identifier><datestamp>2021-07-05T14:03:20Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131023</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">Franco N. C. Wong and Jeffrey H. Shapiro.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Henley, Connor A.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department" lang="en_US">Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2019-07-15T20:31:18Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2019-07-15T20:31:18Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2019</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2019</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">https://hdl.handle.net/1721.1/121655</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">1102050128</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from student-submitted PDF version of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (pages 91-93).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">Non-line-of-sight (NLOS) imaging techniques produce images from light that has travelled from the scene of interest to the observer via indirect paths which typically include multiple reflections. Such techniques can be particularly useful when the direct line of sight between the observer and the scene is blocked. In this thesis we will explore two NLOS imaging techniques. The first is an occlusion-assisted imaging technique, which constructs images of hidden scenes by interpreting the patterns that are imposed on multiply reflected light by occluding objects. We will provide a conceptual and theoretical introduction to our technique, which uses a focused, scannable illumination source and a single-pixel, lensless detector. We will then present the results from an experimental implementation of this technique in a challenging environment. This will be followed by an analysis of a number of challenges that are commonly encountered in active, occlusion-assisted imaging scenarios, including single-bounce light rejection, inter-reflections, and asymmetries in measurement geometry. Finally, we will introduce a new NLOS imaging technique which uses the time-of-flight information in multiply reflected light to produce an unobstructed, line-of-sight view of a hidden scene. We will provide a conceptual introduction to the technique as well as a derivation of the physical model that underlies it, and will also discuss methods for visualizing the technique's output.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Connor A. Henley.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">S.M.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="collection" lang="en_US">S.M. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">93 pages</dim:field>
   <dim:field mdschema="dc" element="language" qualifier="iso" lang="en_US">eng</dim:field>
   <dim:field mdschema="dc" element="publisher" lang="en_US">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="rights" lang="en_US">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.</dim:field>
   <dim:field mdschema="dc" element="rights" qualifier="uri" lang="en_US">http://dspace.mit.edu/handle/1721.1/7582</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Electrical Engineering and Computer Science.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Non-line-of-sight imaging using multi-bounce light</dim:field>
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   <dim:field mdschema="mit" element="thesis" qualifier="degree" lang="en_US">Master</dim:field>
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   	&lt;Title>Non-line-of-sight imaging using multi-bounce light&lt;/Title>
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   	&lt;PublicationDate>2019&lt;/PublicationDate>
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   	&lt;Abstract>Non-line-of-sight (NLOS) imaging techniques produce images from light that has travelled from the scene of interest to the observer via indirect paths which typically include multiple reflections. Such techniques can be particularly useful when the direct line of sight between the observer and the scene is blocked. In this thesis we will explore two NLOS imaging techniques. The first is an occlusion-assisted imaging technique, which constructs images of hidden scenes by interpreting the patterns that are imposed on multiply reflected light by occluding objects. We will provide a conceptual and theoretical introduction to our technique, which uses a focused, scannable illumination source and a single-pixel, lensless detector. We will then present the results from an experimental implementation of this technique in a challenging environment. This will be followed by an analysis of a number of challenges that are commonly encountered in active, occlusion-assisted imaging scenarios, including single-bounce light rejection, inter-reflections, and asymmetries in measurement geometry. Finally, we will introduce a new NLOS imaging technique which uses the time-of-flight information in multiply reflected light to produce an unobstructed, line-of-sight view of a hidden scene. We will provide a conceptual introduction to the technique as well as a derivation of the physical model that underlies it, and will also discuss methods for visualizing the technique&amp;apos;s output.&lt;/Abstract>
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