<?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>2026-09-19T05:49:54Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/54540" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/54540</identifier><datestamp>2022-01-13T07:54:36Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131024</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">Douglas P. Hart.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Hong, Wenxian</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Dept. of Mechanical Engineering.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Mechanical Engineering</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2010-04-28T16:58:35Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2010-04-28T16:58:35Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2009</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2009</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/54540</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">565990736</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (S.B.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2009.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from PDF version of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (p. 65-66).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">The structure of light around a scene may be contained in a 4-dimensional array known as a light field. This thesis describes methods for acquiring and manipulating light fields for applications in 3-dimensional imaging. By actively sampling parts of the wavefront impinging on a lens, or using microlens arrays and patterned sinusoidal masks to modulate the rays reaching a camera, both the spatial distribution and directionality of light may be captured to produce light fields. Simple depth estimation algorithms using stereo and focus measures are then applied to recover quantitative depth information. Experiments on real-world light fields demonstrate their utility in performing digital refocusing, reconstructing occluded objects as well as accurately estimating depth and shape. The performance of the algorithms developed are discussed theoretically and compared empirically.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Wenxian Hong.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">S.B.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">66 p.</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">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.</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">Mechanical Engineering.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Light field applications to 3-dimensional surface imaging</dim:field>
   <dim:field mdschema="dc" element="title" qualifier="alternative" lang="en_US">Light field applications to three-dimensional surface imaging</dim:field>
   <dim:field mdschema="dc" element="type" lang="en_US">Thesis</dim:field>
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	&lt;Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843&lt;/Type>
	&lt;Language>eng&lt;/Language>
   	&lt;Title>Light field applications to 3-dimensional surface imaging&lt;/Title>
   	&lt;Subtitle>Light field applications to three-dimensional surface imaging&lt;/Subtitle>
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   	&lt;PublicationDate>2009&lt;/PublicationDate>
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        	&lt;DisplayName>Hong, Wenxian&lt;/DisplayName>
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            &lt;DisplayName>Massachusetts Institute of Technology&lt;/DisplayName>
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    &lt;License>http://dspace.mit.edu/handle/1721.1/7582&lt;/License>
    &lt;Keyword>Mechanical Engineering.&lt;/Keyword>
   	&lt;Abstract>The structure of light around a scene may be contained in a 4-dimensional array known as a light field. This thesis describes methods for acquiring and manipulating light fields for applications in 3-dimensional imaging. By actively sampling parts of the wavefront impinging on a lens, or using microlens arrays and patterned sinusoidal masks to modulate the rays reaching a camera, both the spatial distribution and directionality of light may be captured to produce light fields. Simple depth estimation algorithms using stereo and focus measures are then applied to recover quantitative depth information. Experiments on real-world light fields demonstrate their utility in performing digital refocusing, reconstructing occluded objects as well as accurately estimating depth and shape. The performance of the algorithms developed are discussed theoretically and compared empirically.&lt;/Abstract>
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