<?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>2026-09-19T05:14:30Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/38703" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/38703</identifier><datestamp>2022-01-13T07:54:36Z</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">Douglas P. Hart.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Prakash, Hemanth</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science</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">2007-08-29T20:47:01Z</dim:field>
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   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2007</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2007</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/38703</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">166143257</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (leaves 109-113).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">This thesis investigates the potential of Active Wave-front Sampling (AWS) for real time quantified 3D endoscopy. AWS is a technique by which phase information from an aperture area of a lens is obtained by sampling sub-regions of the aperture area in time. The resulting phase information is then processed to obtain an accurate 3D measure of an imaged target object. While AWS has multitudinous applications and can take on many forms, this thesis examines the possibility of using an off-the-shelf monoscope and a single camera in conjunction with a rotating off-axis aperture to generate quantified real time three dimensional surface models of a surgical scenario. This AWS based stereo-endoscope (referred to as the AWS-scope) is shown to possess optical attributes that are superior to those of the current industry standard. Quantified 3D data generated using this AWS-scope is used to create enhanced synthetic stereo image pairs that exhibit superior depth perception characteristics comparable to the current industry standard.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Hemanth Prakash.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">S.M.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">119 leaves</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">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="subject" lang="en_US">Electrical Engineering and Computer Science.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">The Active Wave-front Sampling based 3D endoscope</dim:field>
   <dim:field mdschema="dc" element="title" qualifier="alternative" lang="en_US">AWS based 3-dimensional endoscope</dim:field>
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   	&lt;Title>The Active Wave-front Sampling based 3D endoscope&lt;/Title>
   	&lt;Subtitle>AWS based 3-dimensional endoscope&lt;/Subtitle>
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   	&lt;PublicationDate>2007&lt;/PublicationDate&gt;
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    &lt;Keyword>Mechanical Engineering.&lt;/Keyword>
    &lt;Keyword>Electrical Engineering and Computer Science.&lt;/Keyword>
   	&lt;Abstract>This thesis investigates the potential of Active Wave-front Sampling (AWS) for real time quantified 3D endoscopy. AWS is a technique by which phase information from an aperture area of a lens is obtained by sampling sub-regions of the aperture area in time. The resulting phase information is then processed to obtain an accurate 3D measure of an imaged target object. While AWS has multitudinous applications and can take on many forms, this thesis examines the possibility of using an off-the-shelf monoscope and a single camera in conjunction with a rotating off-axis aperture to generate quantified real time three dimensional surface models of a surgical scenario. This AWS based stereo-endoscope (referred to as the AWS-scope) is shown to possess optical attributes that are superior to those of the current industry standard. Quantified 3D data generated using this AWS-scope is used to create enhanced synthetic stereo image pairs that exhibit superior depth perception characteristics comparable to the current industry standard.&lt;/Abstract>
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