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	<title>Matthew Bradley &#8211; VISION AND IMAGE PROCESSING (VIP) RESEARCH GROUP</title>
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		<title>Matthew Bradley</title>
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		<dc:creator><![CDATA[Matthew Bradley]]></dc:creator>
		<pubDate>Wed, 17 Jan 2024 00:40:49 +0000</pubDate>
				<category><![CDATA[Alumni]]></category>
		<category><![CDATA[Computer Vision]]></category>
		<category><![CDATA[John Zelek]]></category>
		<category><![CDATA[M.A.Sc.]]></category>
		<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[M.A.Sc. Grad Date: 2024]]></category>
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					<description><![CDATA[Matthew Bradley is a Master’s student at the Department of Systems Design Engineering supervised by Dr. John Zelek. He works on Visual place recognition which is the ability of a camera system to detect when a previously seen location has been revisited. VPR is core to Simultaious Localization and Mapping and its use in mobile robots like self-driving cars. Matthew's research focuses on improving the robustness of Visual Place recognition through integration of recovered 3D structural information.]]></description>
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<p>At the VIP Lab Matthew has worked to improve the robustness of Visual Place Recognition to environmental effects through an MASc supervised by Dr. John Zelek. VPR is used to detect when a camera returns to a previously-visited location and is core to Simultaneous Localization and Mapping (SLAM), itself a mainstay of mobile robotics including self-driving vehicles. Matthew’s research has been focused on integrating visually-recovered 3D structure into VPR, as this is robust to illumination and viewpoint changes that hinder the versatility of appearance-based methods. Matthew holds a prior BEng degree in computer engineering from Toronto Metropolitan University with added focus in computer vision, robotics, and machine learning.<br><br>Email: m7bradle@uwaterloo.ca<br>Github: https://github.com/m7bradle</p>


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  <div style='margin-bottom: 0.6rem; font-family: Source Serif Pro, Georgia, Times New Roman, serif; font-size: 3rem; font-weight: bold;'>Supervisors</div><a href=https://vip.uwaterloo.ca/j-zelek/>John Zelek</a></div>

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  <div style='margin-bottom: 0.6rem; font-family: Source Serif Pro, Georgia, Times New Roman, serif; font-size: 3rem; font-weight: bold;'>Research interests</div>Matthew&#8217;s research interests are in Structure From Motion (SFM), (Simultaneous Localization and Mapping) SLAM, scene understanding, and robotics.</div>

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  <div style='margin-bottom: 0.6rem; font-family: Source Serif Pro, Georgia, Times New Roman, serif; font-size: 3rem; font-weight: bold;'>Research topics</div><a href=https://vip.uwaterloo.ca/computer-vision/>Computer Vision</a><br></div>

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